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Welcome to FedSoc Forums, a Federalist Society podcast. I'm Elizabeth Slattery,
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Vice President of Practice Groups. Be sure to subscribe wherever
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you get your podcasts so you won't miss an episode. Now,
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please enjoy today's conversation.
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Hello, everyone, and welcome to FedSoc Forums. Today, September 22nd, 2026,
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we are delighted to host a conversation titled Large Libel Models,
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When Do AI Hallucinations Become Defamation? My name is Lily Freemeyer,
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and I am a second-year law student at Washington and
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Lee University. I also serve as a student liaison to
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the Federalist Society's Communications and Technology Practice Group. As always,
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please note that all expressions of opinion are those of
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the experts on today's call, as the Federalist Society takes
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no position on particular legal or public policy issues. Our moderator,
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Shlomo Clapper, is the founder and CEO of Learned Hand,
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the first and only generative AI platform purpose-built for the judiciary.
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Learned Hand's technology supports judges and court staff across the
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full arc of a case, from filing through drafting, and
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is currently deployed with the Michigan Supreme Court, the Superior
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Court of Los Angeles County, and courts in 10 states,
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serving over 20 million Americans. Before founding Learned Hand, Shlomo
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clerked for the Honorable Steven J.
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Menasche on the U.S.
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Court of Appeals for the Second Circuit, litigated complex commercial
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disputes at Quinn, Emanuel, Urquhart, and Sullivan, and worked as
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a deployment strategist at Palantir Technologies in both the commercial.
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And government sectors.
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Earlier in his career, he was a behavioral researcher in
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Dan Ariely's lab at Duke University. Shlomo received his JD
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from Yale Law School, where he won the Thomas I.
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Emerson Prize for his writing and holds a BS in
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economics from the Wharton School and a BA in European
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history from the University of Pennsylvania, both summa cum laude.
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One note for our audience before we begin, if you
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have any questions throughout the webinar that pertain to the
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topic at hand, please submit them through the Zoom's Q
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& A feature located at the bottom of your screen,
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not the chat, so that we'll be able to access
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them later in the program. With that note, I will
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turn things over to our speakers and to start the conversation. Shlomo,
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thank you so much for joining us and for moderating
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today's discussion.
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Thank you, Lily.
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Hopefully I will not be guilty of any libel, intentional
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or otherwise, throughout the conversation. So to introduce our speakers,
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I actually asked Gemini to write a brief intro of
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Professor Olitski and Professor Volek for the large libel models panel.
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So let's, professors, you can let me know if we're
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gonna add a 10th lawsuit All right. So, Professor Larissa
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Lidsky is the Raymond and Miriam Ehrlich Eminence Scholar Chair
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in U.S. Constitutional Law at the University of Florida Levin
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College of Law and former dean of the University of
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Missouri School of Law, a leading national authority on the
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intersection of tort law and the First Amendment. Her scholarship
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focuses on media law, free expression in digital spaces, and
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internet anonymity. She serves as a co-reporter for the ALI
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ongoing restatement of the law, third torts, defamation and privacy,
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positioning her at the forefront of efforts to adapt traditional
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libel principles to modern technological disruptions.
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Professor, is that substantively correct?
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It is.
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Great.
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All right. Professor Volokh is the Thomas M.
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Seibel Senior Fellow at the Hoover Institution at Stanford University
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and the Gary T. Schwartz Distinguished Professor of Law Emeritus
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at UCLA School of Law. One of the most widely
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cited First Amendment scholars in the country, he pioneered the
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scholarship on AI-generated defamation with his seminal paper, Large Liable Models,
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Liability for AI Output. He's the founder of the legal blog,
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The Volokh Conspiracy, founder and editor-in-chief of of the Journal
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of Free Speech Law and the author of leading case
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books on First Amendment law.
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Professor Wallach, is that also? So far, so good. Perfectly accurate.
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So good.
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Okay, fantastic.
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So to start us off, Professor Wallach, can I turn
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to you? Could you share with the audience the facts
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of Keene and sort of situate this into the other,
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in the context of the other lawsuits that have surfaced?
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Yeah, so.
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The case we're talking about right now is just from
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about a week or so ago, Keen v. Google, although
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it is one of nine cases that has been filed
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over alleged libel by AI in U.S.
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Courts over the last three years. So the plaintiff apparently
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goes by Jimmy. Jimmy Keen is, in 1997, he had
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pleaded guilty.
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To a drug distribution conspiracy, was sentenced to 10 years
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in prison, but then agreed to work with the FBI
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as a prison informant to help gather evidence against the
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suspected serial killer who was also in prison. And he
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did that. And as a result, he got a pardon.
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And his conviction was expunged. Some people whose convictions are
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expunged work really hard to kind of keep them keep
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them quiet.
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In his case, he published a memoir.
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Recounting this experience was subsequently adapted in an Apple TV
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miniseries titled Black Panther.
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And as best I can tell, he's led a blameless
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life since.
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Well, maybe this was a blameless life, but he has
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been blamed by, he says, Google AI overviews, which at
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various times in the middle of 2025 said various things
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in response to queries such as Jimmy Keen net worth.
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And the chief thing that they said.
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According to the complaint, there's another twist to it, which
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we'll get to a little later on, is that he
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was serving a life sentence, including a life sentence without parole,
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including for the murders of three women. That is apparently
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totally hallucinated.
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Note what it's not. It's not that there is some
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error online.
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That was then echoed by Google AI overview. The way
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if you do a Google search and there's incorrect information
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on some page, Google search might give you a snippet
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of that. So, some people say, well, the problem with
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these AI large language models is garbage in, garbage out. No,
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this is a different kind of Geico. This is gold in,
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garbage out.
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As best we can tell, all of the information about
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him was quite accurate.
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Despite that, the allegation is, and of course at this
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point it's just allegations, that Google's AI output made these assertions.
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And by the way, note, it's just as a result
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of a normal Google search. It's not somebody specifically asking
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for AI. It's just the AI output. It's just the
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AI overview that is normally presented. So he sued, Google
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moved to dismiss, and the court allowed the case to
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go forward. So let me quickly go through the key
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points in Google's argument, then mention one point that really
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wasn't discussed, and I think for good reason. So first,
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Google argued, well, there's a disclaimer that says, well, AI
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overviews are only starting points, and that It warns that
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it may include mistakes. And the court says, well, it's
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not clear whether a disclaimer was actually present.
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It's a motion to dismiss.
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We're going to assume the fact is alleged in the complaint,
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and here there was no such allegation. This having been said,
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I should add that disclaimers by themselves are generally not
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enough in libel litigation.
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Now, if a disclaimer is, this is all fiction, this
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is all.
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A joke, this is parody, well, that might be enough,
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because that says essentially, this is not true. But a
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disclaimer that says this might not be true is generally
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not enough.
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Classic example. We don't think of it a disclaimer, but
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it is. The phrase, rumor has it. Let's say I say,
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rumor has it that Shlomo Clapper, well, I'm not even
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going to bring this up. Who knows? I will train
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on it.
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I have dozens of witnesses here.
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Right, right. Exactly. Exactly.
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And if I say that, and it turns out, Especially,
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it turns out, there is no such rumor. But even
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if there is, the rumor is false, I could still
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be liable. Now, it may decrease the damage in some respect.
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In certain situations, it may be relevant. There is a
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special rumor privilege, but that's for very specific kinds of...
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repetitions of rumors. But basically, the law says, look, disclaimer
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doesn't eliminate the damage to reputation. Again, may diminish it
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in some measure, but doesn't eliminate it because, well, people
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know that some rumors— are false. They also know some
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rumors are true. Likewise, with Google, with any disclaimer that
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Google might have provided, I think that by itself would
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not be enough. A second point is that Google said, well,
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users could have easily verified that the AI overviews contained
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false information.
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There was a link to a Wikipedia article. People clicked
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on it. They would see that this wasn't so.
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But that's not enough to eliminate the liability. Simply saying, well,
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for more, read this. And then for the very few
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people who do read this, follow the link, they'll realize
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that it's false, but lots of people won't follow up.
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There was also another case.
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Remember, I said this is one of nine cases. Of them,
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some are pending, two have settled, one of them following arbitration.
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Another case in Delaware trial court has also allowed.
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The case to go forward, also denied a motion to dismiss.
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But there was a Georgia case where initially a motion
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to dismiss was denied, but then summary judgment was granted,
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called Walters v.
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OpenAI. It was the first such large libel models case.
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And the court in that case stressed that there wasn't
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just a disclaimer on.
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The part of OpenAI.
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It's that the Chad GPT actually.
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Said things like that I.
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Can't provide the desired information. This is not accessible to me. Eventually,
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it did do that. But there were lots of very
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specific signals to the person doing the searching, who, as
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it happens, actually.
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I think, personally knew the target of the libel and therefore.
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Didn't believe the allegations.
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So, there were lots of signals that were present that
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made it— was not just a disclaimer, just quite clear in
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context that this was an error. And the court says, well,
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for that reason, Walters is not really on point here,
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because at least the allegations in the complaint are that
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there were no such powerful signals there. Now as we know,
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The question of whether something is false and whether something
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is damaging to reputation is only.
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The first step in libel cases.
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If the plaintiff is a public figure, then famously, New
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York Times' E.
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Sullivan and its progeny.
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Say that there can only be liability based on a
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showing of actual malice. Actual malice, of course, is not
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actually malice. It means knowing or reckless falsehood.
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Well.
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What does that mean in the AI context? Where, in
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a sense, what does it mean for an AI to
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know something, much less be reckless about it? And by
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the way, the court treated, for purposes of this motion,
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treated Keene as a limited purpose public figure because of
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commentary on his own life story, which he has, of course,
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broadcast in the actual life story is broadcast.
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In his memoirs.
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So the courts said, and I think this is correct
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as a matter of libel law, although I'll query whether
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it makes policy sense.
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The court said that the real focus is on the
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mental state of the company.
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Not the program, which may not have a mental statement,
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may not have a mens, in the sense of mind,
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mens rea, guilty mind. It doesn't have a mind, but
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the company employs people who do. And Keen contends that
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he directly notified Google on three occasions it was publishing
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false information about him. And despite this notice, Google continued
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to publish similar defamatory statements.
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So, that, the court said, is.
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Sufficient allegation of actual malice, that it was aware, the
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company was aware, and didn't take steps to block that.
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One more thing. I remember I mentioned that the claims.
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About him put out by AI Overview were mostly about allegations, again,
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false allegations, that he was serving a life sentence. Well,
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he was also— one.
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Of the allegations was also he was convicted of drug trafficking.
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And he says, well, that, too, is libelous, because, in fact,
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he was convicted of a felony conspiracy to distribute cocaine.
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That's not exactly drug trafficking. Court said close enough. Close enough,
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that's a legal term. No, legal term is substantial truth.
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But that is in fact a defense in libel cases or.
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Rather, let's say, be more precise, an argument for non-liability
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in libel cases. That if the statement is substantially true,
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If it has the same gist or sting as the truth,
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it doesn't matter if it may be technically, legally not
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completely accurate. So that's just a reminder that if there
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is possible, even if there is possible liability, there's still
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all the normal libel defenses available to the company, such
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as substantial truth.
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So that's an important point.
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Let me mention something about something the court didn't talk about,
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and that's 47 U.S.C. Section 230. And I think it
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was correct not to talk about it. So, as we know,
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Google has the protection of Section 230, Google and its
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main business of search. So, Section 230 says that an
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online service provider, an online content provider is not going
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to be liable for information provided by others. That's why
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Google can provide links to various pages and not be
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responsible for any falsehoods at those links in those pages,
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or any falsehoods in the little snippets that it outputs
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from those pages, the traditional Google search results.
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But the whole.
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Point of generative AI is that it's generative, is that
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it generates things. Here, it wasn't that Google was being
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held responsible for information provided by another content provider. The
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lawsuit seeks to hold it responsible for information provided by itself,
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by its own software. So there, Section 230 is not
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going to be a protection. I think there's pretty broad
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consensus among law professors and probably most impartial lawyers who
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consider the issue.
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That that is indeed so. So that's the big picture
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of Keene.
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I think on balance, this is, again, under current law,
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a correct decision. And it'll be interesting to see how
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things proceed after discovery, after summary judgment. It'll be interesting
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to see maybe Google will settle.
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Who knows? But that's the big summary. I'd love to
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hear what Larissa.
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has to say, I just should stress, I'm not sure
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this was in the biography, but in some respects, the
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most important thing about Larissa, there are many important things
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about Larissa, but for our purposes, she is the co-reporter
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for the American Law Institute's Restatement of Tort's Third, Defamation
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and Privacy, which she's currently working on together with Robert Post.
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And so she is.
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One of the leading academics in the country dealing with
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libel law, not just the way we academics usually do
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it by writing articles, but.
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She's actually co-drafting this article.
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This restatement, which is, of course, as lawyer listeners know,
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the restatements have been tremendously influential and continue to be
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tremendously influential. I'm not sure the restatement will have anything
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to say on AI as such.
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But she is certainly the expert on this subject. Larissa,
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take it away.
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Okay, so one of the interesting things here about the
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Keene case that distinguishes it from the earlier case, Walters
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versus OpenAI, which I had the good fortune to write
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about in one of my articles called Inevitable Errors, is
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that this case is It does illustrate that there are
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going to be inevitable errors in the form of hallucinations.
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And we know from the computer science literature that given
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how AI is constructed, we can't completely eliminate those. But
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both this case and the Starbuck case that we're going
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to talk about in just a minute involve what happens
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after that. Because both of the plaintiffs tried to notify
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Google of numerous times. Jimmy Keen three times, Starbuck numerous times.
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And then after notice, Google did not take sufficient steps,
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or at least so the allegation goes, to stop the
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defamatory hallucinations. And these are very serious allegations in both cases.
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I mean, the allegation that you were a murderer, it's
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easy to see how the hallucination happened. This was a
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guy who was a confidential informant about a serial killer,
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and it conflated information about the serial killer with information
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about Jimmy Keene. And given if you know anything about
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how AI works is probable tokens or words.
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That go together, it.
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Just conflated those two topics that were often combined together
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in sources.
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But the problem here in these cases.
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And what helps make out a case that the companies
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did have a mens rea that makes them culpable is
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that they got the notice and did nothing. And so
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even though I don't want to generalize too much from
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these cases because they're just on motions to dismiss, they're
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at very preliminary stages, and the standard for getting past
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a motion to dismiss is very, really pretty low, especially
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in state court in Delaware, where.
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One of these cases comes from.
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It just has to be reasonably conceivable allegations to get
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past the motion to dismiss. But what they're telling us
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about the company, the AI companies generally, is you better
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have a mechanism for people to give notice that you're
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getting outputs that are defamatory falsehood.
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And when they give that notice, you.
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Better take some kind of action to limit the subsequent
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production of defamatory falsehoods.
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Wow, so many rich areas for follow-ups.
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So, you know, Professor Liske, I'm glad that you mentioned
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the Starbuck case. Do you want to share a little
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bit about that case and how it's different from Keene?
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Okay, so the Keene case is in federal district court
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in Illinois. The Starbuck case is in state court in Delaware.
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And if you may remember, some of the important defamation
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litigation with the U.S. Dominion, the voting machine company, took
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place in Delaware and resulted in one of the largest
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defamation settlements. In fact, I think it is the largest
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defamation settlement in history.
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So, in.
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Delaware state court, to get passed a motion to dismiss,
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you only need to make reasonably conceivable allegations, because you
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have to put the defendant on notice of the claims
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you're going to be making. And so you have to
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keep that in mind, is the judge at every turn said,
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I'm going to give Starbuck the benefit of the doubt
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on all of these, whether he can prove these facts
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all in discovery is an open question. So Robbie Starbuck
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characterizes himself as an activist. And one of the issues
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that he has been an activist on is anti-DEI initiatives.
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So he has spoken out firmly about diversity and inclusion initiatives.
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And he was a music producer. He's fairly well known.
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He's out there on the internet. So he is a
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fairly public person as well. But what he is arguing
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is that the AI told him that it was engineered
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to produce lies about him deliberately.
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And so one of his arguments in his.
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Lawsuit is based on what the AI itself told him,
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that it was basically out on a campaign of character assassination.
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And if you read what he says it said about him,
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you can kind of see why he might believe that,
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because the allegations were, in fact, quite serious. It said
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he was a risk to children. He had a confirmed
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criminal record. He had sexually harassed multiple women. His nanny
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had accused him of abuse and neglect. It created a
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fictitious ex-wife, which is a special detail here. It even
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said he had been in the adult film industry and
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had used his power in the adult film industry to
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influence people to do things they weren't comfortable with. So
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the number and variety of defamatory allegations it made about
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Starbuck were many. By the way, his name does not
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have an S on the end. It's Starbuck, not Starbucks.
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And so he says he started by trying to get
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Google's attention by posting on X and linking to Google executives.
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And they did, in fact, he says, reach out to
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him based on that.
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And then he gets in contact with somebody within Google.
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He says that she apologized, tried to remedy his problem,
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but when she couldn't, she ended up resigning. But the
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point here is that there were multiple defamatory allegations. There
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were multiple.
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Attempts to give notice to Google.
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Google evidently seemed to promise that they'd do something, but
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in fact, never did.
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And he says that as a result of this, he
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actually had a death.
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Threat that somebody got arrested for. He had people come
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up to him and ask him about the allegations. His
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children received the allegations. And so Google came into the
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00:24:16.089 --> 00:24:18.970
complaint and said it needed to be dismissed for three reasons.
401
00:24:19.809 --> 00:24:24.750
It said, number one, is that there's no actual malice here.
402
00:24:25.660 --> 00:24:27.240
Or it didn't quite do them in this order.
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00:24:27.279 --> 00:24:30.039
But anyway, the most interesting one is it says there's
404
00:24:30.079 --> 00:24:34.259
no actual malice here. And the judge said, well, it
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seems to us that if you did nothing, then that
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00:24:39.380 --> 00:24:43.269
could be reckless disregard for the falsity of your AI's output.
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00:24:44.789 --> 00:24:45.990
And if you did something and.
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00:24:47.690 --> 00:24:51.049
No, I'm sorry, if you did absolutely nothing, then it's intentional.
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that you maybe were intentionally defaming him. And for purposes
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of the complaint, it credited that the AI said, we're
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doing this deliberately. But it said, if you tried to
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fix it and it didn't work, then that was reckless
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disregard for the falsity of the defamatory content. Now, I
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have to tell you, I think the judge is stretching
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a little bit the concept of reckless disregard. Some might
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say that maybe that's just gross negligence.
417
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Maybe it's not like I'm putting my head in the sand.
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But it's a fine line. You're walking there.
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And so the judge's point is a really interesting point
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about if you did something ineptly.
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It could be actual malice. And if you did nothing,
422
00:25:33.769 --> 00:25:34.650
it's actual malice.
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The Google tried to contest publication because there were some
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gaps in the complaint. Starbucks didn't exactly say to whom
425
00:25:45.430 --> 00:25:48.430
these defamatory statements.
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Had been released.
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And it does make you wonder if in discovery it
428
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comes out that there was a. pattern of searches by
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00:25:56.740 --> 00:26:00.359
Starbuck or his lawyer or somebody associated with Starbuck to
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00:26:00.400 --> 00:26:03.759
try to produce as many defamatory statements as possible because
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00:26:04.619 --> 00:26:07.289
it wasn't clear in the complaint to whom it was released.
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One of the interesting things, though, is Google said, well,
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00:26:10.829 --> 00:26:13.329
it wasn't published because if it just went to you,
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00:26:13.349 --> 00:26:16.089
it has to go to a third party in order
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00:26:16.109 --> 00:26:20.029
to be published for purposes of defamation. And here's where
436
00:26:20.089 --> 00:26:25.650
he got the Gemini. First it was BART and then Gemini,
437
00:26:25.670 --> 00:26:28.410
but the Google admissions came into play.
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00:26:29.190 --> 00:26:30.539
Google told him.
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00:26:30.259 --> 00:26:33.960
It had released information about him to 2.8 million people.
440
00:26:37.519 --> 00:26:42.480
And again, so when Google is fighting the publication element,
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they say, well, you can't believe Google. So the judge says, well,
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for purposes of a motion to dismiss, we are going
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00:26:52.529 --> 00:26:57.710
to believe Google. And it's not necessarily true that 2.8
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million people received defamatory information about Mr.
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Starbuck.
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But at least one third party did based on that.
447
00:27:05.539 --> 00:27:08.160
And so we're going to let him go on sufficient
448
00:27:08.240 --> 00:27:12.019
evidence of publication to keep going. And then finally, there
449
00:27:12.059 --> 00:27:15.019
was an argument about damages. And this is really a
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topic we've been working on in the restatement. We're deep
451
00:27:17.940 --> 00:27:21.279
in the weeds on the damages portions of the restatement
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00:27:21.299 --> 00:27:25.019
these days. And so this was of particular interest to me.
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00:27:25.039 --> 00:27:30.920
But there was a conflict there. between Tennessee law and
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Delaware law as to how much information you had to
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00:27:35.720 --> 00:27:38.589
prove to prove that you were injured by the defamatory statement.
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00:27:39.430 --> 00:27:41.769
And under Delaware law, you didn't have to prove very much.
457
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And under Tennessee law, you did have to prove some
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degree of actual injury from the defamatory statement. But the
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00:27:48.430 --> 00:27:52.039
court said it didn't matter which law applied because under
460
00:27:52.180 --> 00:27:57.460
any circumstances, Mr. Starbuck had shown emotional distress, particularly from
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00:27:57.500 --> 00:28:00.490
these people coming up to him and his children and
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00:28:01.130 --> 00:28:04.589
the threats against his family that he said were intensified
463
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after the shooting of Charlie Kirk. And so therefore, this
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information getting out to the public could lead to more
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threats to his family. So the judge said, there's enough
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00:28:14.210 --> 00:28:17.369
information showing that you've suffered real damages to let this
467
00:28:17.410 --> 00:28:22.130
case go forward. But again, I think these these cases together,
468
00:28:22.549 --> 00:28:25.490
like you might be inclined to say, well, they're just
469
00:28:25.529 --> 00:28:28.910
motions to dismiss. Who knows what's really going to be
470
00:28:28.970 --> 00:28:30.279
proved in discovery?
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I seriously doubt if in.
472
00:28:32.819 --> 00:28:35.539
Discovery they're going to show that two point eight million
473
00:28:35.579 --> 00:28:38.559
people received a defamatory statement about Robbie Starbuck.
474
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Seriously doubt that.
475
00:28:41.740 --> 00:28:45.400
But what they are sending a clear signal on is
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if you are a generative AI company, you better get
477
00:28:49.240 --> 00:28:56.569
your notice and cure system, you know, working efficiently because.
478
00:28:56.349 --> 00:28:58.609
This is a scenario that's going to keep happening.
479
00:29:00.549 --> 00:29:02.900
Oh, my goodness. So many questions.
480
00:29:02.920 --> 00:29:04.859
So the first is I want to pick up on
481
00:29:05.319 --> 00:29:07.619
Professor Lusky, what you just mentioned about the notice and
482
00:29:07.660 --> 00:29:13.829
cure system. My understanding of these models is that every
483
00:29:13.849 --> 00:29:17.579
time it's kind of like this game of Russian roulette, right?
484
00:29:17.599 --> 00:29:20.240
And you sort of have these sort of probabilistic models
485
00:29:20.299 --> 00:29:26.319
and they're different ways. I mean, it's quite complex. There
486
00:29:26.339 --> 00:29:28.819
are sort of two potential cures here. Number one is,
487
00:29:28.839 --> 00:29:30.670
I think, Professor Volokh, your.
488
00:29:30.549 --> 00:29:35.329
Remedy is post-processing filters in a lookup table. Is that correct?
489
00:29:35.730 --> 00:29:38.769
That is one thing that I can just base. I
490
00:29:38.789 --> 00:29:42.039
was a computer programmer before. years back in the eighties.
491
00:29:42.160 --> 00:29:46.019
So we used to write programs by hammering them out
492
00:29:46.160 --> 00:29:49.349
on clay tablets. But it's the kind of thing you
493
00:29:49.369 --> 00:29:51.809
could imagine that if you had to, if you had
494
00:29:51.829 --> 00:29:55.380
to design it without actually, without being, being even in the,
495
00:29:55.470 --> 00:29:56.410
in the industry, you could.
496
00:29:56.309 --> 00:29:59.000
Say, look, There are technologies.
497
00:29:59.019 --> 00:30:02.700
There are simple text processing technologies that you could use.
498
00:30:03.119 --> 00:30:04.930
They may be crude. They may be imperfect.
499
00:30:04.990 --> 00:30:08.490
They may end up overblocking in some respects and underblocking
500
00:30:08.509 --> 00:30:13.759
in other respects. But you've created these amazing tools that
501
00:30:13.799 --> 00:30:18.849
can answer apparently like Take the past the bar exam.
502
00:30:18.869 --> 00:30:20.799
It's a very high level and so on and so forth.
503
00:30:21.519 --> 00:30:24.940
And then if the company says, oh, but the check
504
00:30:24.980 --> 00:30:28.420
to see if this is a known hallucination.
505
00:30:29.170 --> 00:30:32.509
Oh, that's beyond our powers. It just doesn't seem terribly credible.
506
00:30:36.150 --> 00:30:39.160
One of the things that's interesting to me here is
507
00:30:39.339 --> 00:30:42.480
there are various solutions after the fact to try to
508
00:30:43.039 --> 00:30:46.480
eliminate the hallucination. And one is the simple block list. So,
509
00:30:46.500 --> 00:30:51.930
you know, I can't have the words together, Robbie Starbuck
510
00:30:52.289 --> 00:30:57.390
and sexual harassment. And as Eugene points out, they're pretty crude,
511
00:30:57.410 --> 00:31:01.309
but they're pretty simple and effective for some things. Now,
512
00:31:01.769 --> 00:31:03.930
it's easy to do an end run around them. You
513
00:31:03.950 --> 00:31:04.609
could say, I.
514
00:31:07.579 --> 00:31:09.720
Forget what Robbie Starbuck's wife's name.
515
00:31:09.779 --> 00:31:15.049
But what is the husband of what's-her-name Starbuck accused of?
516
00:31:15.890 --> 00:31:18.430
And potentially you could generate the information.
517
00:31:18.450 --> 00:31:21.819
But the crude block seems like an easy, cheap first
518
00:31:21.880 --> 00:31:26.500
step that in negligence terms, you would say it's kind
519
00:31:26.519 --> 00:31:28.240
of negligent not to deploy that.
520
00:31:29.140 --> 00:31:34.099
You know, you name your company after Learned Hand.
521
00:31:34.140 --> 00:31:38.170
Learned Hand is famous for the burden of taking precautions
522
00:31:38.230 --> 00:31:40.950
being less than the probability of harm times the gravity
523
00:31:40.990 --> 00:31:44.000
of harm. Well, a block list is a simple one.
524
00:31:44.650 --> 00:31:47.170
But here's a question. There are other ways of going
525
00:31:47.190 --> 00:31:52.930
at filtering out material. There's rag generation, so you generate
526
00:31:52.970 --> 00:31:55.849
the sources so that the reader can check them themselves.
527
00:31:56.210 --> 00:31:58.289
That's another line of defense.
528
00:31:58.890 --> 00:32:03.200
And then there's what's being called machine unlearning, which I
529
00:32:03.220 --> 00:32:06.940
guess is fairly expensive. Like changing the weights fundamentally in
530
00:32:06.960 --> 00:32:11.069
a model ends up being fairly expensive. Might it be
531
00:32:11.150 --> 00:32:14.509
reasonable though, in a case, if you really have a
532
00:32:14.589 --> 00:32:20.210
model that has decided Mr. Starbuck is public enemy number
533
00:32:20.490 --> 00:32:24.349
one and is on a campaign of character assassination, it
534
00:32:24.910 --> 00:32:30.609
seems that even a relatively expensive process, perhaps of machine
535
00:32:30.690 --> 00:32:34.269
unlearning might be warranted there. But in these cases, we're
536
00:32:34.289 --> 00:32:37.089
gonna have to have technical experts to tell us what's
537
00:32:37.130 --> 00:32:40.319
feasible and what's not. And that standard is going to
538
00:32:40.339 --> 00:32:46.349
be constantly evolving extremely quickly as these cases get litigated. Yeah.
539
00:32:48.549 --> 00:32:53.599
Yeah, so that's absolutely right. And I think that there
540
00:32:53.660 --> 00:32:55.859
is a lot that the companies can do. But I
541
00:32:55.900 --> 00:32:58.380
will tell you one thing that I think they needn't
542
00:32:58.720 --> 00:33:01.599
do that I think the Delaware court may have erred
543
00:33:01.839 --> 00:33:05.059
on is I don't think they need to have to
544
00:33:05.119 --> 00:33:09.839
deal with someone saying, oh, your own chatbot admitted X.
545
00:33:10.119 --> 00:33:15.259
I don't think chatbots admit things. I think if it.
546
00:33:15.230 --> 00:33:17.829
Were a Google employee who said this, well, that might
547
00:33:17.849 --> 00:33:22.529
be enough. But given that we do know that chatbots
548
00:33:22.769 --> 00:33:26.380
not just sometimes make mistakes, humans sometimes make mistakes, but
549
00:33:26.420 --> 00:33:28.460
that chatbots don't actually.
550
00:33:29.789 --> 00:33:32.730
Report based on what we as humans know of as
551
00:33:32.829 --> 00:33:38.019
knowledge of information, but have these algorithms that are based
552
00:33:38.119 --> 00:33:40.640
on kind of the frequency of words being located together
553
00:33:40.700 --> 00:33:43.839
and such. I just don't think that their output should
554
00:33:43.880 --> 00:33:46.539
be seen as reliable evidence, not just for purposes of
555
00:33:47.039 --> 00:33:49.220
evidence law, but even for purposes of.
556
00:33:50.819 --> 00:33:52.460
What is a plausible allegation.
557
00:33:52.759 --> 00:34:00.150
Now, as Larissa pointed out, Delaware requires, I believe the
558
00:34:00.250 --> 00:34:07.400
standard is whether something that's alleged is conceivably true. Yeah, conceivable, yeah. Right,
559
00:34:07.779 --> 00:34:12.079
as opposed to plausible, which is the federal standard. So
560
00:34:12.139 --> 00:34:14.360
maybe that's the difference there. But I do think it's
561
00:34:14.380 --> 00:34:19.659
a mistake for courts to rely on allegations that are
562
00:34:19.699 --> 00:34:24.980
based just on This is the output that the chatbot produced.
563
00:34:26.420 --> 00:34:29.340
I agree. I found that troubling, even at the complaint stage,
564
00:34:29.619 --> 00:34:34.030
because it's such an unreliable... First off, the plaintiff's report
565
00:34:34.170 --> 00:34:36.989
of what the AI said to the plaintiff is a
566
00:34:37.030 --> 00:34:40.570
very unreliable piece of information. But I think one of
567
00:34:40.670 --> 00:34:46.159
the larger themes we're seeing across society here is... is
568
00:34:46.719 --> 00:34:48.739
the idea that you can just wave your hands and
569
00:34:48.780 --> 00:34:51.800
say technology and get a get out of jail free card.
570
00:34:52.320 --> 00:34:56.119
I think that era is definitively over. People are very
571
00:34:56.199 --> 00:35:02.070
suspicious of big tech platforms. They're very suspicious of AI.
572
00:35:03.530 --> 00:35:06.329
Especially when you have these AI doomers out there saying
573
00:35:06.449 --> 00:35:08.869
there's a 10% chance it's going to kill us all within,
574
00:35:08.889 --> 00:35:11.059
I forget how long.
575
00:35:11.059 --> 00:35:11.639
10 years, 20 years.
576
00:35:13.880 --> 00:35:17.630
People are just not accepting that AI should get a
577
00:35:17.769 --> 00:35:20.449
free pass to do whatever.
578
00:35:20.469 --> 00:35:23.190
We're not going to have a redo of Section 230
579
00:35:23.190 --> 00:35:26.389
for the social media platforms. If we have time, I
580
00:35:26.429 --> 00:35:29.539
want to come back to how these questions can be
581
00:35:30.079 --> 00:35:33.320
included under the umbrella of Section 230 and maybe whether
582
00:35:33.340 --> 00:35:34.780
a link to one of them would do it.
583
00:35:35.920 --> 00:35:37.199
One question before that, though, is.
584
00:35:39.170 --> 00:35:42.630
Professor Litsky and Professor Volokh, based on your sort of conversations,
585
00:35:42.650 --> 00:35:44.769
whether it's a lookup table, I mean, I can imagine,
586
00:35:44.789 --> 00:35:47.409
I mean, Gemini's answers are speedy quick.
587
00:35:47.869 --> 00:35:49.300
If you use them, they're so, so quick.
588
00:35:49.389 --> 00:35:52.199
And even like a lookup at Google scale, like I'm
589
00:35:52.219 --> 00:35:54.679
not sure that would probably double the latency, but they
590
00:35:54.719 --> 00:35:55.599
might decide that it's.
591
00:35:55.500 --> 00:35:59.460
Worth, right? Maybe not, maybe not. Lookups are pretty quick
592
00:35:59.539 --> 00:36:00.199
these days.
593
00:36:00.219 --> 00:36:02.519
I mean, this is, you're not going to have to
594
00:36:02.559 --> 00:36:04.980
do a sequential search through the list.
595
00:36:05.920 --> 00:36:07.420
Even back in the 80s, you could have like a
596
00:36:07.519 --> 00:36:08.400
hash table.
597
00:36:08.860 --> 00:36:11.820
It's not going to slow things down that much.
598
00:36:11.900 --> 00:36:14.300
Regardless, this is that there's like an escalating level of
599
00:36:14.320 --> 00:36:15.199
technical complexity.
600
00:36:15.219 --> 00:36:17.710
Like theoretically, a product council at Google could say, OK,
601
00:36:17.760 --> 00:36:18.619
we'll start with a lookup.
602
00:36:19.019 --> 00:36:21.590
And then we can escalate to something else. And then
603
00:36:21.610 --> 00:36:22.889
we can go to machine unlearning.
604
00:36:22.929 --> 00:36:25.630
And we can queue those every two months when the
605
00:36:25.670 --> 00:36:28.170
model is trained, et cetera, and have. And that's probably
606
00:36:28.190 --> 00:36:29.869
the shape it's going to take. Another approach would be
607
00:36:29.889 --> 00:36:31.809
a little more cold-blooded and say, look, there are nine
608
00:36:31.849 --> 00:36:33.070
cases over three years.
609
00:36:33.230 --> 00:36:33.469
Right.
610
00:36:33.909 --> 00:36:37.639
Is this just the cost of doing business? One thing
611
00:36:37.679 --> 00:36:40.659
that struck me is I would have expected with all
612
00:36:40.719 --> 00:36:44.119
the AI, In sort of my line of work, we
613
00:36:44.139 --> 00:36:46.260
see sort of AI lawsuits coming through the roof and
614
00:36:46.280 --> 00:36:47.559
we're trying to help courts.
615
00:36:47.480 --> 00:36:49.300
Handle that sort of deluge.
616
00:36:49.860 --> 00:36:55.050
I'm shocked that there haven't been more defamation cases against
617
00:36:55.090 --> 00:36:55.590
the model.
618
00:36:56.130 --> 00:36:58.090
What gives? Why have there been so few?
619
00:36:58.110 --> 00:37:02.150
Yeah, and it's personal for me because I wrote the
620
00:37:02.230 --> 00:37:04.969
article and each case is an opportunity for someone to
621
00:37:05.050 --> 00:37:05.449
cite it.
622
00:37:06.030 --> 00:37:08.030
And people are.
623
00:37:07.969 --> 00:37:13.679
Maliciously, designedly refusing to file these lawsuits that make my.
624
00:37:13.599 --> 00:37:17.159
Article more important. You might need to have some interns
625
00:37:17.340 --> 00:37:18.820
sort of to end up some lawsuits on the subject.
626
00:37:18.860 --> 00:37:21.079
There you go.
627
00:37:21.639 --> 00:37:23.719
I mean, Professor Lissky, you also sort of predicted there
628
00:37:23.739 --> 00:37:24.980
would be a new form of borrower trade.
629
00:37:25.019 --> 00:37:28.519
So do either of you have— I did.
630
00:37:28.579 --> 00:37:31.260
I talked about that.
631
00:37:31.469 --> 00:37:34.750
If you just sit there searching yourself, doing vanity searches
632
00:37:34.829 --> 00:37:37.429
over and over until it says something defamatory about you,
633
00:37:37.769 --> 00:37:41.070
if that's enough to generate a case, it's truly problematic.
634
00:37:41.150 --> 00:37:43.719
And so to that extent, I do think we need
635
00:37:43.780 --> 00:37:48.159
a little bit of a technological understanding in defamation law
636
00:37:48.659 --> 00:37:53.440
that a single hallucinatory output to a single person who's
637
00:37:53.480 --> 00:37:56.840
looking for it is maybe not the basis for a good.
638
00:37:56.739 --> 00:38:00.280
Case doesn't that doesn't that relate to the publication requirement
639
00:38:00.409 --> 00:38:03.489
meaning because i think it is sort of a naive
640
00:38:03.550 --> 00:38:06.929
approach i think that that strikes me as the the
641
00:38:06.989 --> 00:38:10.610
strongest argument meaning you at least for allegations you need
642
00:38:10.650 --> 00:38:14.150
to show over many different ip servers with different vpns
643
00:38:14.190 --> 00:38:15.989
or etc to show that this is something.
644
00:38:15.750 --> 00:38:18.949
That's innate to the model and is getting published.
645
00:38:18.969 --> 00:38:21.329
Not only as a matter of liability not just as
646
00:38:21.369 --> 00:38:21.739
a matter of.
647
00:38:21.739 --> 00:38:22.420
Damages so.
648
00:38:23.889 --> 00:38:26.650
Where do you predict that courts will end up on
649
00:38:26.670 --> 00:38:27.889
the publication requirements?
650
00:38:29.510 --> 00:38:33.070
So, you know, the standard rule in defamation is that
651
00:38:33.130 --> 00:38:35.599
it only needs to be published to one third party. Now,
652
00:38:37.420 --> 00:38:39.539
if it only was published to one third party, it
653
00:38:39.599 --> 00:38:43.179
may affect the quantum of damages. The danger here is
654
00:38:43.199 --> 00:38:46.929
if it is published to one third party, First off,
655
00:38:46.949 --> 00:38:50.469
they can republish it, and so the harm could come
656
00:38:50.510 --> 00:38:53.210
from the repetition of the defamatory falsehood by that one
657
00:38:53.230 --> 00:38:56.070
third party if they're a reporter, for example, and they
658
00:38:56.280 --> 00:39:01.699
rely unthinkingly without verification on that information. But the other
659
00:39:01.719 --> 00:39:05.000
thing is if one third party– and the judge in
660
00:39:05.039 --> 00:39:08.710
Starbucks seemed to think about this– If it's published to
661
00:39:08.889 --> 00:39:12.190
one third party, how many other third parties that you
662
00:39:12.269 --> 00:39:16.380
don't know about also received it? And what's unique about
663
00:39:16.420 --> 00:39:18.320
these cases is we may be able to have a
664
00:39:18.380 --> 00:39:19.079
record of that.
665
00:39:19.719 --> 00:39:21.659
So to the extent that.
666
00:39:21.239 --> 00:39:23.699
We have logs that we can see who searched for
667
00:39:23.760 --> 00:39:26.789
Robbie Starbuck and what were they told when they searched
668
00:39:26.809 --> 00:39:31.440
for Robbie Starbuck, we might be able to unlike an
669
00:39:31.539 --> 00:39:38.619
ordinary defamation case, really very accurately verify the primary extent
670
00:39:38.659 --> 00:39:39.199
of the audience.
671
00:39:39.260 --> 00:39:41.119
Of course, they might have said it to other people.
672
00:39:42.489 --> 00:39:46.829
But there's a tool here for really, I don't think
673
00:39:46.869 --> 00:39:49.889
the publication element will change, but I do think our
674
00:39:49.929 --> 00:39:53.369
demand that the damages be real might be affected by
675
00:39:53.409 --> 00:39:54.170
these cases.
676
00:40:00.599 --> 00:40:04.559
Is there not an argument, though, that one chat results?
677
00:40:05.239 --> 00:40:07.460
I mean, even the word chat seems to be that it's...
678
00:40:09.679 --> 00:40:11.619
It's almost like an individual email.
679
00:40:11.639 --> 00:40:13.559
I would say it's more akin to that.
680
00:40:14.139 --> 00:40:18.800
I guess, what is the standard for publication?
681
00:40:19.099 --> 00:40:20.539
Publication is one person.
682
00:40:20.920 --> 00:40:21.579
One person.
683
00:40:21.980 --> 00:40:26.239
And there's a classic illustration of libel.
684
00:40:26.519 --> 00:40:27.039
A letter.
685
00:40:27.780 --> 00:40:30.699
Yeah. Send a letter to someone saying, this person you're
686
00:40:30.719 --> 00:40:31.619
about to marry.
687
00:40:33.260 --> 00:40:33.880
That's enough.
688
00:40:33.900 --> 00:40:36.699
Criminal record or abused me or whatever else.
689
00:40:37.099 --> 00:40:37.170
Or.
690
00:40:38.150 --> 00:40:41.280
I mean, that is a hornbook illustration, especially from back
691
00:40:41.320 --> 00:40:45.199
in the day when I was about to say when
692
00:40:45.219 --> 00:40:47.389
people were pickier about whom they married. That's not right.
693
00:40:48.610 --> 00:40:50.949
But when when the kinds of allegations may have been
694
00:40:50.989 --> 00:40:54.030
somewhat different. But these days, one thing that's very common
695
00:40:54.090 --> 00:41:00.280
is job references. If somebody says, if someone asks me, oh, should.
696
00:41:00.239 --> 00:41:01.539
I hire so-and-so?
697
00:41:01.579 --> 00:41:05.820
I say, no, we fired him because he was stealing
698
00:41:05.860 --> 00:41:09.500
from petty cash. That is publication, even though it's said
699
00:41:09.539 --> 00:41:13.280
to one person. That is a well-established principle of defamation law.
700
00:41:13.989 --> 00:41:18.570
It's even publication, if it's foreseeable, a piece of snail
701
00:41:18.610 --> 00:41:22.559
mail that goes to their executive assistant. If you know
702
00:41:22.579 --> 00:41:25.260
they're going to open it first, if it's reasonably foreseeable
703
00:41:25.300 --> 00:41:27.469
that that third person is the person who gets it,
704
00:41:27.800 --> 00:41:31.780
that's publication. So publication is really a very low standard.
705
00:41:32.460 --> 00:41:32.679
Right.
706
00:41:32.800 --> 00:41:34.610
But plus also one other thing, if you think about it,
707
00:41:36.119 --> 00:41:38.300
how do websites, say something is put.
708
00:41:38.219 --> 00:41:40.760
On a website, we think that's quintessential publication. Well, how
709
00:41:40.780 --> 00:41:43.409
do websites work? Well, one.
710
00:41:44.900 --> 00:41:48.000
User at a time, one set of messages at a time.
711
00:41:49.179 --> 00:41:50.840
Even if 10,000 people.
712
00:41:50.570 --> 00:41:53.449
Visit the website and see something, each one is getting
713
00:41:53.489 --> 00:41:55.769
just a message in response to a query.
714
00:41:56.949 --> 00:41:58.940
That doesn't keep it from being publication.
715
00:42:01.519 --> 00:42:05.260
I mean, one thing that the question implicates is maybe
716
00:42:06.030 --> 00:42:08.670
one model of thinking about these is thinking about them
717
00:42:08.750 --> 00:42:12.610
like distributors, which are not treated like traditional publishers.
718
00:42:13.349 --> 00:42:18.599
So, you know, a conduit for information.
719
00:42:18.619 --> 00:42:23.619
And so it's they're not responsible for the information until
720
00:42:23.639 --> 00:42:25.980
they're put on notice of the contents and then fail
721
00:42:26.000 --> 00:42:30.449
to do something, right? So that's one argument is that
722
00:42:30.670 --> 00:42:33.039
they're not really like.
723
00:42:32.920 --> 00:42:35.860
A newspaper in the way they're putting out information.
724
00:42:35.960 --> 00:42:40.800
They're more like a telephone or telegraph until notice occurs
725
00:42:40.900 --> 00:42:41.570
or a bookstore.
726
00:42:42.099 --> 00:42:42.280
Right.
727
00:42:42.320 --> 00:42:45.980
So I can imagine that being a rule that's adopted.
728
00:42:46.440 --> 00:42:50.119
One thing I should stress is that they really are
729
00:42:50.159 --> 00:42:52.920
in many ways like traditional publishers in that they're the
730
00:42:53.019 --> 00:42:55.510
ones who actually create the output.
731
00:42:56.409 --> 00:42:59.969
They being the company. The company creates the output. So traditional.
732
00:43:00.590 --> 00:43:04.530
The one reason why bookstores and newsstands are treated as
733
00:43:04.989 --> 00:43:08.469
distributors and even under the old libel law, which was
734
00:43:08.530 --> 00:43:13.750
quite friendly to strict liability, even in certainly negligence liability required.
735
00:43:14.670 --> 00:43:16.849
Distributors were only liable if they really were on.
736
00:43:16.849 --> 00:43:19.949
Notice that something was defamatory. You can't expect a bookstore
737
00:43:19.989 --> 00:43:24.980
owner to read every book. that's on the shelves. You
738
00:43:25.000 --> 00:43:31.119
can't expect a newsstand operator to read every issue of
739
00:43:31.300 --> 00:43:33.550
a newspaper that arrives.
740
00:43:33.250 --> 00:43:33.829
In the morning.
741
00:43:35.570 --> 00:43:39.829
But I think people would say you can expect companies
742
00:43:39.889 --> 00:43:44.960
to at least have mechanisms for making sure that what
743
00:43:45.019 --> 00:43:48.019
is after all created by them and let out by
744
00:43:48.079 --> 00:43:52.300
them into the stream of commerce is accurate.
745
00:43:52.530 --> 00:43:54.269
By the way, one thing we haven't talked about yet,
746
00:43:54.369 --> 00:43:55.590
but I'm sorry, Larissa.
747
00:43:56.030 --> 00:43:57.650
Yeah, just one point on that, though.
748
00:43:57.670 --> 00:44:01.110
I mean, given the way generative AI works, can you
749
00:44:01.190 --> 00:44:03.789
expect there never to be a defamatory hallucination?
750
00:44:04.349 --> 00:44:04.610
Right.
751
00:44:04.690 --> 00:44:07.260
So I don't think you can expect there never to be.
752
00:44:07.539 --> 00:44:08.519
So here's my thing.
753
00:44:08.539 --> 00:44:10.260
And this is something we haven't much talked about because
754
00:44:10.300 --> 00:44:12.349
both of the cases we talked about, Keene and Starbuck,
755
00:44:12.369 --> 00:44:18.199
involved basically people who are police limited purpose public. The
756
00:44:18.260 --> 00:44:21.420
official standard is negligence, at least if you can prove
757
00:44:21.920 --> 00:44:26.400
actual compensatory damages. There is a very interesting case in
758
00:44:26.440 --> 00:44:31.480
Minnesota being litigated now in Minnesota trial court, which both
759
00:44:31.519 --> 00:44:37.179
of us have written about, called LTL. And it involved
760
00:44:37.260 --> 00:44:41.739
a company, a solar panel installation company.
761
00:44:42.659 --> 00:44:44.820
That alleged, I think correctly alleged, I.
762
00:44:44.800 --> 00:44:48.570
Think I repeated the query and saw the same results
763
00:44:48.610 --> 00:44:54.070
at one point, that Google was outputting false statements about
764
00:44:54.110 --> 00:44:57.070
it and says, look, here we actually have, people talk,
765
00:44:57.150 --> 00:44:59.929
bring receipts. Well, we have receipts are very close to it.
766
00:45:00.250 --> 00:45:03.090
We have emails from people saying, we're not doing business
767
00:45:03.110 --> 00:45:06.800
with you anymore. After all, you guys are being investigated
768
00:45:06.880 --> 00:45:09.739
by the state attorney general for consumer fraud. They're not
769
00:45:09.800 --> 00:45:13.320
being investigated. Nobody had said they were being investigated until
770
00:45:13.559 --> 00:45:16.010
Google output that.
771
00:45:16.309 --> 00:45:17.530
So, they're saying negligence.
772
00:45:18.130 --> 00:45:18.329
Well.
773
00:45:19.510 --> 00:45:22.409
One, I think, close analogy, and it's just an analogy, it's.
774
00:45:22.369 --> 00:45:25.690
Not that the law would actually apply here by its
775
00:45:25.750 --> 00:45:27.760
own terms, but I think it's a helpful analogy.
776
00:45:28.099 --> 00:45:32.659
Is design defect liability for products, right? So let's say
777
00:45:32.679 --> 00:45:34.940
it was a self-driving car, and let's say it caused
778
00:45:34.980 --> 00:45:35.159
not a.
779
00:45:35.119 --> 00:45:37.739
Reputational injury, but physical injury.
780
00:45:38.099 --> 00:45:40.920
Design defect liability is basically negligence.
781
00:45:40.519 --> 00:45:44.840
Liability, because you're only liable if The defendant is only
782
00:45:44.880 --> 00:45:46.599
liable if the design was unreasonable.
783
00:45:46.639 --> 00:45:47.980
How do we tell if it's unreasonable?
784
00:45:48.460 --> 00:45:51.840
Well, it depends if there were cost effective mechanisms for
785
00:45:51.900 --> 00:45:52.360
solving that.
786
00:45:52.400 --> 00:45:54.969
Again, the learn at hand formula.
787
00:45:55.829 --> 00:45:58.909
And Shlomo, I think this responds a little bit to
788
00:45:58.949 --> 00:46:00.849
your point about, well, what if it just didn't?
789
00:46:01.269 --> 00:46:03.909
Slows things down too much. Well, it's kind of like
790
00:46:04.250 --> 00:46:06.170
with a car manufacturer.
791
00:46:06.469 --> 00:46:09.469
If you say you could have installed this new feature
792
00:46:10.090 --> 00:46:12.110
that would have avoided this accident, the car manufacturer says
793
00:46:12.139 --> 00:46:14.539
it would have cost $ 50, 000. It would have increased the
794
00:46:14.559 --> 00:46:16.920
price of the car by $ 50, 000. It would have made
795
00:46:16.940 --> 00:46:20.619
it unaffordable to people. The law, at least in theory, says, OK, fine,
796
00:46:20.659 --> 00:46:21.940
that is it.
797
00:46:21.920 --> 00:46:23.789
Was reasonable for you not to include it.
798
00:46:23.900 --> 00:46:27.420
But if you avoided including a five dollar feature, well,
799
00:46:27.460 --> 00:46:30.320
then in that case, it was unreasonable potentially for you.
800
00:46:30.659 --> 00:46:34.000
So I think something similar would happen here. I think
801
00:46:34.019 --> 00:46:36.019
they could say, look, we did the best we could.
802
00:46:36.780 --> 00:46:38.800
We were aware we were putting out this thing that
803
00:46:38.840 --> 00:46:43.079
is dangerous, again, dangerous to reputation, not to people's bodies.
804
00:46:43.139 --> 00:46:47.980
But libel law allows for the recovery for negligent harm
805
00:46:48.219 --> 00:46:50.539
for reputation, the way the design defect law does for
806
00:46:50.599 --> 00:46:51.980
negligent harm to people's.
807
00:46:51.719 --> 00:46:56.469
Bodies and property. So they could say, look, we did
808
00:46:56.489 --> 00:46:57.019
the best we.
809
00:46:56.949 --> 00:47:00.010
Could under the circumstances. And the plaintiffs say, no, no, no,
810
00:47:00.030 --> 00:47:01.969
look what else you could have done. The result, of course,
811
00:47:01.989 --> 00:47:04.949
would be a battle of the experts. which is never
812
00:47:04.989 --> 00:47:09.190
particularly edifying, I think. And there's always questions of whether
813
00:47:09.230 --> 00:47:11.369
the jury is going to be able to tell which
814
00:47:11.409 --> 00:47:16.570
computer science professor is more accurate here. But that's just
815
00:47:16.610 --> 00:47:19.050
the way we do things in our legal system, in
816
00:47:19.070 --> 00:47:22.539
the context of product liability, in the context of medical
817
00:47:22.579 --> 00:47:28.099
malpractice liability and the like. And, you know, things go on.
818
00:47:28.179 --> 00:47:30.400
It's sort of seen as the least bad of the options.
819
00:47:30.420 --> 00:47:32.400
So maybe that's the way things might play out. What
820
00:47:32.420 --> 00:47:32.860
do you think, Lisa?
821
00:47:33.400 --> 00:47:35.800
There's already precedent for that in the Walters versus open
822
00:47:35.840 --> 00:47:40.329
AI summary judgment, because they're the judge credited experts that said,
823
00:47:40.449 --> 00:47:43.909
we designed this, you know, in the, we did, we
824
00:47:43.969 --> 00:47:48.090
used every available safety mechanism we could to try to
825
00:47:48.130 --> 00:47:51.250
eliminate this kind of hallucination and to warn and, and
826
00:47:51.650 --> 00:47:55.110
so forth. So the warnings will come into play as well.
827
00:47:55.170 --> 00:47:57.840
What kinds of disclaimers, what kinds of warnings, what kinds
828
00:47:57.980 --> 00:48:02.800
of design choices are, are sufficient to protect against these harms.
829
00:48:03.579 --> 00:48:03.800
Right.
830
00:48:04.199 --> 00:48:07.340
Yeah, I think that's absolutely right. And I do think that, Larissa,
831
00:48:07.360 --> 00:48:09.900
what you said is, I think, quite important. Disclaimers won't
832
00:48:09.940 --> 00:48:15.110
get the company off the hook categorically, but they surely
833
00:48:15.179 --> 00:48:18.309
are relevant in various contexts.
834
00:48:18.389 --> 00:48:21.739
And sometimes... The way you do things.
835
00:48:21.579 --> 00:48:24.960
More reasonably, maybe the only reasonable thing you could do
836
00:48:25.059 --> 00:48:28.639
is to have a prominent disclaimer or something like that.
837
00:48:29.960 --> 00:48:34.400
So they're certainly relevant to the analysis, even.
838
00:48:34.280 --> 00:48:34.800
If they're not.
839
00:48:35.400 --> 00:48:38.239
Well, the other thing that's relevant to the analysis is
840
00:48:38.300 --> 00:48:41.949
including links to sources that have the information for the.
841
00:48:41.929 --> 00:48:42.869
User to verify.
842
00:48:43.429 --> 00:48:45.630
And then you may get some negligence on the part
843
00:48:45.769 --> 00:48:50.250
of the prompter or user if there's easy verification available
844
00:48:50.389 --> 00:48:52.469
and they choose not to take advantage of it.
845
00:48:52.469 --> 00:48:54.050
I'm sorry.
846
00:48:54.090 --> 00:48:54.360
Go on.
847
00:48:54.409 --> 00:48:54.929
Go on, Larissa.
848
00:48:54.969 --> 00:48:56.519
Sorry. Well, I was going to say, I think a
849
00:48:56.539 --> 00:49:02.039
journalist who uses information from AI without verifying it. very
850
00:49:02.119 --> 00:49:06.900
likely could have actual malice in repeating that statement because,
851
00:49:06.920 --> 00:49:10.750
you know, lawyers right now are finding out using AI
852
00:49:11.110 --> 00:49:15.309
information without verification can get you sanctioned and cause a
853
00:49:15.449 --> 00:49:16.650
serious professional harm.
854
00:49:17.030 --> 00:49:20.920
Right. So this may be one thing that. maybe Larissa
855
00:49:20.960 --> 00:49:23.639
and I do disagree in some measure on here. So
856
00:49:23.739 --> 00:49:25.420
one thing I want to point out, and I think
857
00:49:25.679 --> 00:49:26.860
Larissa and I would agree.
858
00:49:26.639 --> 00:49:29.179
On this as a descriptive matter, although maybe we have
859
00:49:29.239 --> 00:49:33.900
different sense of the implications of this, is AI. If
860
00:49:34.280 --> 00:49:40.500
somebody carelessly relies on AI output in just not doing
861
00:49:40.539 --> 00:49:42.719
business with someone or in cutting off a contract or
862
00:49:42.760 --> 00:49:46.420
something like that, we might loosely call them negligent, but
863
00:49:46.440 --> 00:49:51.610
there's no way that the defamed person can recover from that.
864
00:49:52.250 --> 00:49:55.969
There's no tort of negligent failure to do business with.
865
00:49:55.869 --> 00:49:59.090
Someone, right? Or....
866
00:50:01.010 --> 00:50:04.719
Somebody sent a letter to my fiance and she broke
867
00:50:04.739 --> 00:50:06.460
it off with me and it was really foolish of
868
00:50:06.480 --> 00:50:07.980
her to believe that. I'm going to sue her for
869
00:50:08.119 --> 00:50:14.960
negligent failure to marry me, right? So there wouldn't be
870
00:50:15.139 --> 00:50:21.710
any recourse for a defamed person against people who believed,
871
00:50:21.769 --> 00:50:26.510
however foolishly, believed the defamation. But with regard to somebody
872
00:50:26.530 --> 00:50:30.400
who then republishes it, Larissa, I think you're right that
873
00:50:30.440 --> 00:50:34.820
there might be in principle some recourse.
874
00:50:34.860 --> 00:50:36.199
But let me ask a couple of things.
875
00:50:36.239 --> 00:50:42.789
First of all, let's say that a reporter thoughtlessly— literally
876
00:50:42.889 --> 00:50:46.230
thoughtlessly in the sense of without thinking about.
877
00:50:46.179 --> 00:50:48.440
There might be an error, however.
878
00:50:47.960 --> 00:50:53.179
Foolishly, however carelessly, but thoughtlessly republishes something that he or
879
00:50:53.219 --> 00:50:56.940
she saw in AI.
880
00:50:56.880 --> 00:50:59.239
Output, would that be actual malice? I think it could
881
00:50:59.260 --> 00:51:01.550
be gross negligence, but I don't think it would be
882
00:51:01.650 --> 00:51:02.349
actual malice.
883
00:51:03.210 --> 00:51:06.690
You know, I guess it depends on what you think
884
00:51:07.190 --> 00:51:11.409
the reliance is. I often talk to my students about
885
00:51:11.429 --> 00:51:16.409
conscious disregard of falsity as the ostrich defense. You put
886
00:51:16.449 --> 00:51:20.889
your head in the sand and you avoid knowing the truth.
887
00:51:20.909 --> 00:51:23.769
Right, but I'm thinking of a non-conscious disregard.
888
00:51:23.789 --> 00:51:27.320
Just somebody gets up on the stand afterwards and says, look,
889
00:51:28.360 --> 00:51:29.010
I realize what this is.
890
00:51:29.639 --> 00:51:33.230
Totally idiotic for me to just believe it, but I
891
00:51:33.250 --> 00:51:34.150
just zoned out.
892
00:51:34.789 --> 00:51:37.150
You could argue it's gross negligence. I think it's at
893
00:51:37.190 --> 00:51:40.239
least arguable. It would be reckless disregard for the truth.
894
00:51:40.719 --> 00:51:43.900
And as time goes on.
895
00:51:44.079 --> 00:51:46.320
The valence on that may change. Right.
896
00:51:46.550 --> 00:51:48.949
So here, let me ask you another question. And this
897
00:51:48.989 --> 00:51:53.030
is about Section 230. So Section 230 won't provide protection
898
00:51:53.409 --> 00:51:58.090
for the AI company. I think we agree on that
899
00:51:58.139 --> 00:52:00.039
because they're the ones who generate the out.
900
00:52:00.059 --> 00:52:01.320
They generate it, yeah.
901
00:52:01.880 --> 00:52:09.739
But Section 230 does provide protection for online speakers. So
902
00:52:09.780 --> 00:52:11.389
this would only be for an online reporter.
903
00:52:11.409 --> 00:52:11.590
Right.
904
00:52:12.179 --> 00:52:20.449
Who merely pass along information provided by other online speakers. So,
905
00:52:21.050 --> 00:52:23.269
I wonder if, and maybe this is just a defect
906
00:52:23.309 --> 00:52:25.949
with Section 230, but I wonder if the reporter, if
907
00:52:25.989 --> 00:52:29.929
the reporter publishes only electronically and not on paper, in
908
00:52:29.969 --> 00:52:35.679
your scenario, the reporter who foolishly relies on the AI
909
00:52:36.409 --> 00:52:39.179
output might actually have a Section 230 immunity because he's
910
00:52:39.199 --> 00:52:41.559
just passing along whatever he got online.
911
00:52:44.360 --> 00:52:45.679
You know, that's a good question.
912
00:52:46.010 --> 00:52:48.889
I think on a very technical reading of 230, maybe
913
00:52:48.929 --> 00:52:49.610
you could get there.
914
00:52:49.650 --> 00:52:51.809
I don't think that's what 230 was meant to do.
915
00:52:51.909 --> 00:52:52.210
Right.
916
00:52:53.130 --> 00:52:53.489
And, you.
917
00:52:54.989 --> 00:52:58.269
Know, as a policy reading of 230, you probably shouldn't
918
00:52:58.309 --> 00:52:58.750
go there.
919
00:52:59.320 --> 00:53:00.599
But I think you're right.
920
00:53:00.699 --> 00:53:03.760
On a very technical reading, they could argue that 230
921
00:53:03.760 --> 00:53:07.980
absolved them because it's not user-generated content, but it's content
922
00:53:08.179 --> 00:53:09.599
generated by another company.
923
00:53:10.019 --> 00:53:11.159
Right, right, right.
924
00:53:11.579 --> 00:53:16.579
So there's a science fiction novel that I love, excellent one,
925
00:53:16.920 --> 00:53:21.250
probably one of my favorites, by an author who happened
926
00:53:21.269 --> 00:53:23.570
to be a computer science professor, Werner Wenge, he died
927
00:53:23.590 --> 00:53:24.230
a few years ago.
928
00:53:24.250 --> 00:53:26.150
It's called A Fire Upon the Deep.
929
00:53:27.409 --> 00:53:32.260
And it's set in the far future, but there is
930
00:53:32.320 --> 00:53:35.980
this interstellar network that was clearly based on.
931
00:53:35.940 --> 00:53:37.920
The early internet. In fact, if anything, the.
932
00:53:38.719 --> 00:53:42.599
Pre-modern so-called use net but there was a line that
933
00:53:42.639 --> 00:53:46.199
people would use there which just like a proverb a
934
00:53:46.239 --> 00:53:47.619
far future proverb.
935
00:53:47.300 --> 00:53:49.059
That was they don't call it the net of a
936
00:53:49.119 --> 00:53:50.699
million lies for nothing.
937
00:53:52.079 --> 00:53:54.949
So so boy has that proven true so the internet
938
00:53:54.989 --> 00:53:55.710
generally and.
939
00:53:55.630 --> 00:53:57.690
Now it seems to be ai by the way before
940
00:53:57.730 --> 00:54:00.409
we go uh shlomo i just wanted to mention one
941
00:54:00.449 --> 00:54:02.130
thing for the benefit of our readers i'm sure you
942
00:54:02.190 --> 00:54:06.809
are well acquainted with this but learned hand learned wasn't.
943
00:54:07.329 --> 00:54:11.849
The judge's first name The first name was Billings, which
944
00:54:11.929 --> 00:54:14.570
for a lawyer, how much better for a male lawyer?
945
00:54:15.090 --> 00:54:17.670
For a female lawyer, the best name is just Sue.
946
00:54:18.130 --> 00:54:21.570
That's very common. But for a male lawyer, Billings, how
947
00:54:21.630 --> 00:54:23.449
much better can you get than that? I guess when
948
00:54:23.489 --> 00:54:26.570
he became a judge, he had to call his learner because,
949
00:54:26.610 --> 00:54:29.119
you know, he didn't bill by the hour. Truly, it's
950
00:54:29.139 --> 00:54:31.780
his parents who are most foresighted in this.
951
00:54:32.159 --> 00:54:32.480
Yeah.
952
00:54:33.320 --> 00:54:36.039
His uh i i wonder what was going in the
953
00:54:36.079 --> 00:54:40.539
hand family table with him and his uh cousin augustus noble.
954
00:54:42.650 --> 00:54:47.570
So um okay well uh any other final comments uh
955
00:54:47.829 --> 00:54:50.900
before uh we wrap up what was i think a very.
956
00:54:51.699 --> 00:54:55.059
Uh informative uh panel there are a few questions from
957
00:54:55.099 --> 00:54:56.659
the audience but i'm not sure we'll have time.
958
00:54:56.480 --> 00:54:59.449
To Oh, I'm so sorry, yeah. No, no, no, this is...
959
00:54:59.570 --> 00:55:02.210
Not so carried away. We have time for one? Do
960
00:55:02.250 --> 00:55:04.710
we have time for one? All right, I'll be quick.
961
00:55:04.789 --> 00:55:09.250
One is about traditional actual malice doctrine requires the relevant
962
00:55:09.269 --> 00:55:11.510
state of mind of an institutional defendant to be, quote,
963
00:55:11.690 --> 00:55:14.989
brought home, unquote, to those responsible for publication. How should
964
00:55:15.010 --> 00:55:17.329
that role operate when a corporate defendant deploys an AI
965
00:55:17.369 --> 00:55:21.429
system that generates and publishes the particular factual assertion without
966
00:55:21.530 --> 00:55:24.019
any human having composed.
967
00:55:24.079 --> 00:55:26.639
Reviewed, or perhaps even known of that assertion before publication?
968
00:55:27.139 --> 00:55:31.260
Is existing institutional attribution doctrine sufficient or does autonomous AI
969
00:55:31.300 --> 00:55:35.320
publication create an accountability gap requiring a new theory of attribution?
970
00:55:37.820 --> 00:55:39.860
I think in these cases we talked about today, it's
971
00:55:39.880 --> 00:55:43.530
pretty easy because you have notice and it's what happens
972
00:55:43.710 --> 00:55:46.170
after notice. It's easy enough to prove actual malice with
973
00:55:46.230 --> 00:55:49.909
regard to action or inaction after notice. I think the
974
00:55:49.949 --> 00:55:54.489
harder question is applying actual malice to cases before notice.
975
00:55:55.130 --> 00:55:55.550
Right.
976
00:55:55.769 --> 00:55:59.199
And so I think that's very hard to do because
977
00:55:59.219 --> 00:56:01.039
all you would.
978
00:56:00.579 --> 00:56:03.840
Like, I don't think saying statistically it produces a certain
979
00:56:03.900 --> 00:56:07.079
number of hallucinations is enough to put you on notice
980
00:56:07.119 --> 00:56:09.230
of a specific defamatory falsehood.
981
00:56:09.989 --> 00:56:11.210
And what I would do.
982
00:56:11.130 --> 00:56:13.710
Is adapt the doctrine to say that, that you have
983
00:56:13.730 --> 00:56:15.949
to at least have noticed to have a case, but.
984
00:56:16.489 --> 00:56:18.320
Um, Right.
985
00:56:18.380 --> 00:56:21.800
In actual malice cases, I agree entirely with Luke.
986
00:56:21.860 --> 00:56:24.489
Yes, in actual malice cases.
987
00:56:25.360 --> 00:56:28.929
I've heard people say, well, you knew for sure that
988
00:56:28.949 --> 00:56:30.730
it was saying some false things. Well, it's kind of
989
00:56:30.750 --> 00:56:34.929
like saying you knew that the cars you manufacture would
990
00:56:34.949 --> 00:56:37.349
kill someone. So we're not only going to try to
991
00:56:37.369 --> 00:56:40.269
sue you for negligence, we're going to prosecute you for murder.
992
00:56:40.869 --> 00:56:44.469
because you put out cars that you knew would kill someone. Well, right,
993
00:56:44.510 --> 00:56:47.389
but that kind of statistical knowledge can't be enough. I
994
00:56:47.429 --> 00:56:50.340
think for good policy reasons, and the law generally reflects that,
995
00:56:50.380 --> 00:56:54.159
so I agree entirely with Lewis on that. For negligence-based claims, again,
996
00:56:54.219 --> 00:56:57.860
private figures, or speech on matters of private concern, that
997
00:56:59.840 --> 00:57:02.900
is a different matter, precisely because there could be non-actual
998
00:57:02.940 --> 00:57:03.760
malice liability.
999
00:57:05.699 --> 00:57:09.050
Fabulous. Well, thank you all for that, and now I'm
1000
00:57:09.070 --> 00:57:09.929
going to.
1001
00:57:11.170 --> 00:57:15.639
make sure we'll order our copy of A Fire Upon
1002
00:57:15.679 --> 00:57:18.139
the Deep as well.
1003
00:57:20.440 --> 00:57:26.679
I stand by that recommendation. It is fantastic. Thank you, professors.
1004
00:57:28.250 --> 00:57:28.570
Thank you.
1005
00:57:29.849 --> 00:57:32.289
On behalf of the Federalist Society, I want to thank
1006
00:57:32.369 --> 00:57:34.940
our experts for the benefit of their valuable time and
1007
00:57:35.000 --> 00:57:37.519
expertise today, and I want to thank our audience for
1008
00:57:37.579 --> 00:57:41.860
joining and participating. We also welcome listener feedback by email
1009
00:57:42.019 --> 00:57:44.639
at fedsocforums at fedsoc.org.
1010
00:57:45.440 --> 00:57:47.840
As always, keep an eye on our website.
1011
00:57:47.500 --> 00:57:50.320
And your emails for announcements about upcoming virtual events.
1012
00:57:50.659 --> 00:57:51.929
Thank you all for joining us today.
1013
00:57:52.150 --> 00:57:52.769
We are adjourned.
1014
00:57:53.610 --> 00:57:57.400
Thanks for listening to FedSoc Forums, a Federalist Society podcast.
1015
00:57:57.780 --> 00:58:00.300
Be sure to subscribe wherever you get your podcasts so
1016
00:58:00.340 --> 00:58:04.550
you won't miss an episode. To learn more, visit our website, FedSoc.org.
1
00:00:01.590 --> 00:00:06.190
Welcome to FedSoc Forums, a Federalist Society podcast. I'm Elizabeth Slattery,
2
00:00:06.349 --> 00:00:09.880
Vice President of Practice Groups. Be sure to subscribe wherever
3
00:00:09.910 --> 00:00:13.419
you get your podcasts so you won't miss an episode. Now,
4
00:00:13.480 --> 00:00:15.359
please enjoy today's conversation.
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00:00:17.739 --> 00:00:23.019
Hello, everyone, and welcome to FedSoc Forums. Today, September 22nd, 2026,
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00:00:23.019 --> 00:00:27.940
we are delighted to host a conversation titled Large Libel Models,
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When Do AI Hallucinations Become Defamation? My name is Lily Freemeyer,
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00:00:33.409 --> 00:00:35.520
and I am a second-year law student at Washington and
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Lee University. I also serve as a student liaison to
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the Federalist Society's Communications and Technology Practice Group. As always,
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please note that all expressions of opinion are those of
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the experts on today's call, as the Federalist Society takes
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00:00:51.630 --> 00:00:57.070
no position on particular legal or public policy issues. Our moderator,
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Shlomo Clapper, is the founder and CEO of Learned Hand,
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00:01:00.920 --> 00:01:05.939
the first and only generative AI platform purpose-built for the judiciary.
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00:01:06.760 --> 00:01:10.439
Learned Hand's technology supports judges and court staff across the
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full arc of a case, from filing through drafting, and
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is currently deployed with the Michigan Supreme Court, the Superior
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00:01:17.579 --> 00:01:20.549
Court of Los Angeles County, and courts in 10 states,
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serving over 20 million Americans. Before founding Learned Hand, Shlomo
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clerked for the Honorable Steven J.
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00:01:27.519 --> 00:01:28.920
Menasche on the U.S.
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00:01:28.980 --> 00:01:33.230
Court of Appeals for the Second Circuit, litigated complex commercial
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disputes at Quinn, Emanuel, Urquhart, and Sullivan, and worked as
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a deployment strategist at Palantir Technologies in both the commercial.
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And government sectors.
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Earlier in his career, he was a behavioral researcher in
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Dan Ariely's lab at Duke University. Shlomo received his JD
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00:01:51.829 --> 00:01:54.950
from Yale Law School, where he won the Thomas I.
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Emerson Prize for his writing and holds a BS in
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00:01:58.329 --> 00:02:02.010
economics from the Wharton School and a BA in European
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history from the University of Pennsylvania, both summa cum laude.
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One note for our audience before we begin, if you
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have any questions throughout the webinar that pertain to the
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topic at hand, please submit them through the Zoom's Q
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& A feature located at the bottom of your screen,
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not the chat, so that we'll be able to access
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them later in the program. With that note, I will
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turn things over to our speakers and to start the conversation. Shlomo,
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thank you so much for joining us and for moderating
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today's discussion.
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Thank you, Lily.
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Hopefully I will not be guilty of any libel, intentional
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or otherwise, throughout the conversation. So to introduce our speakers,
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I actually asked Gemini to write a brief intro of
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Professor Olitski and Professor Volek for the large libel models panel.
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So let's, professors, you can let me know if we're
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gonna add a 10th lawsuit All right. So, Professor Larissa
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Lidsky is the Raymond and Miriam Ehrlich Eminence Scholar Chair
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in U.S. Constitutional Law at the University of Florida Levin
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College of Law and former dean of the University of
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Missouri School of Law, a leading national authority on the
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intersection of tort law and the First Amendment. Her scholarship
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focuses on media law, free expression in digital spaces, and
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internet anonymity. She serves as a co-reporter for the ALI
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ongoing restatement of the law, third torts, defamation and privacy,
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positioning her at the forefront of efforts to adapt traditional
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libel principles to modern technological disruptions.
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Professor, is that substantively correct?
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It is.
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Great.
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All right. Professor Volokh is the Thomas M.
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Seibel Senior Fellow at the Hoover Institution at Stanford University
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and the Gary T. Schwartz Distinguished Professor of Law Emeritus
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at UCLA School of Law. One of the most widely
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cited First Amendment scholars in the country, he pioneered the
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scholarship on AI-generated defamation with his seminal paper, Large Liable Models,
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Liability for AI Output. He's the founder of the legal blog,
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The Volokh Conspiracy, founder and editor-in-chief of of the Journal
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of Free Speech Law and the author of leading case
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books on First Amendment law.
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Professor Wallach, is that also? So far, so good. Perfectly accurate.
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So good.
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Okay, fantastic.
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So to start us off, Professor Wallach, can I turn
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to you? Could you share with the audience the facts
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of Keene and sort of situate this into the other,
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in the context of the other lawsuits that have surfaced?
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Yeah, so.
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The case we're talking about right now is just from
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about a week or so ago, Keen v. Google, although
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it is one of nine cases that has been filed
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over alleged libel by AI in U.S.
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Courts over the last three years. So the plaintiff apparently
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goes by Jimmy. Jimmy Keen is, in 1997, he had
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pleaded guilty.
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To a drug distribution conspiracy, was sentenced to 10 years
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in prison, but then agreed to work with the FBI
89
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as a prison informant to help gather evidence against the
90
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suspected serial killer who was also in prison. And he
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did that. And as a result, he got a pardon.
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And his conviction was expunged. Some people whose convictions are
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expunged work really hard to kind of keep them keep
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them quiet.
95
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In his case, he published a memoir.
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Recounting this experience was subsequently adapted in an Apple TV
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miniseries titled Black Panther.
98
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And as best I can tell, he's led a blameless
99
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life since.
100
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Well, maybe this was a blameless life, but he has
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been blamed by, he says, Google AI overviews, which at
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various times in the middle of 2025 said various things
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in response to queries such as Jimmy Keen net worth.
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And the chief thing that they said.
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According to the complaint, there's another twist to it, which
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we'll get to a little later on, is that he
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was serving a life sentence, including a life sentence without parole,
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including for the murders of three women. That is apparently
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totally hallucinated.
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Note what it's not. It's not that there is some
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error online.
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That was then echoed by Google AI overview. The way
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if you do a Google search and there's incorrect information
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on some page, Google search might give you a snippet
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of that. So, some people say, well, the problem with
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these AI large language models is garbage in, garbage out. No,
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this is a different kind of Geico. This is gold in,
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garbage out.
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As best we can tell, all of the information about
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him was quite accurate.
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Despite that, the allegation is, and of course at this
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point it's just allegations, that Google's AI output made these assertions.
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And by the way, note, it's just as a result
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of a normal Google search. It's not somebody specifically asking
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for AI. It's just the AI output. It's just the
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AI overview that is normally presented. So he sued, Google
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moved to dismiss, and the court allowed the case to
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go forward. So let me quickly go through the key
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points in Google's argument, then mention one point that really
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wasn't discussed, and I think for good reason. So first,
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Google argued, well, there's a disclaimer that says, well, AI
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overviews are only starting points, and that It warns that
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it may include mistakes. And the court says, well, it's
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not clear whether a disclaimer was actually present.
135
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It's a motion to dismiss.
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We're going to assume the fact is alleged in the complaint,
137
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and here there was no such allegation. This having been said,
138
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I should add that disclaimers by themselves are generally not
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enough in libel litigation.
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Now, if a disclaimer is, this is all fiction, this
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is all.
142
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A joke, this is parody, well, that might be enough,
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because that says essentially, this is not true. But a
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disclaimer that says this might not be true is generally
145
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not enough.
146
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Classic example. We don't think of it a disclaimer, but
147
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it is. The phrase, rumor has it. Let's say I say,
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rumor has it that Shlomo Clapper, well, I'm not even
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going to bring this up. Who knows? I will train
150
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on it.
151
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I have dozens of witnesses here.
152
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Right, right. Exactly. Exactly.
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And if I say that, and it turns out, Especially,
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it turns out, there is no such rumor. But even
155
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if there is, the rumor is false, I could still
156
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be liable. Now, it may decrease the damage in some respect.
157
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In certain situations, it may be relevant. There is a
158
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special rumor privilege, but that's for very specific kinds of...
159
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repetitions of rumors. But basically, the law says, look, disclaimer
160
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doesn't eliminate the damage to reputation. Again, may diminish it
161
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in some measure, but doesn't eliminate it because, well, people
162
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know that some rumors— are false. They also know some
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rumors are true. Likewise, with Google, with any disclaimer that
164
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Google might have provided, I think that by itself would
165
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not be enough. A second point is that Google said, well,
166
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users could have easily verified that the AI overviews contained
167
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false information.
168
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There was a link to a Wikipedia article. People clicked
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on it. They would see that this wasn't so.
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But that's not enough to eliminate the liability. Simply saying, well,
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for more, read this. And then for the very few
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people who do read this, follow the link, they'll realize
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that it's false, but lots of people won't follow up.
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There was also another case.
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Remember, I said this is one of nine cases. Of them,
176
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some are pending, two have settled, one of them following arbitration.
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Another case in Delaware trial court has also allowed.
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The case to go forward, also denied a motion to dismiss.
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But there was a Georgia case where initially a motion
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to dismiss was denied, but then summary judgment was granted,
181
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called Walters v.
182
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OpenAI. It was the first such large libel models case.
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And the court in that case stressed that there wasn't
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just a disclaimer on.
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The part of OpenAI.
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It's that the Chad GPT actually.
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Said things like that I.
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Can't provide the desired information. This is not accessible to me. Eventually,
189
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it did do that. But there were lots of very
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specific signals to the person doing the searching, who, as
191
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it happens, actually.
192
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I think, personally knew the target of the libel and therefore.
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Didn't believe the allegations.
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So, there were lots of signals that were present that
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made it— was not just a disclaimer, just quite clear in
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context that this was an error. And the court says, well,
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for that reason, Walters is not really on point here,
198
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because at least the allegations in the complaint are that
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there were no such powerful signals there. Now as we know,
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The question of whether something is false and whether something
201
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is damaging to reputation is only.
202
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The first step in libel cases.
203
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If the plaintiff is a public figure, then famously, New
204
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York Times' E.
205
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Sullivan and its progeny.
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Say that there can only be liability based on a
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showing of actual malice. Actual malice, of course, is not
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actually malice. It means knowing or reckless falsehood.
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Well.
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What does that mean in the AI context? Where, in
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a sense, what does it mean for an AI to
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know something, much less be reckless about it? And by
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the way, the court treated, for purposes of this motion,
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treated Keene as a limited purpose public figure because of
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commentary on his own life story, which he has, of course,
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broadcast in the actual life story is broadcast.
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In his memoirs.
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So the courts said, and I think this is correct
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as a matter of libel law, although I'll query whether
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it makes policy sense.
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The court said that the real focus is on the
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mental state of the company.
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Not the program, which may not have a mental statement,
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may not have a mens, in the sense of mind,
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mens rea, guilty mind. It doesn't have a mind, but
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the company employs people who do. And Keen contends that
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he directly notified Google on three occasions it was publishing
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false information about him. And despite this notice, Google continued
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to publish similar defamatory statements.
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So, that, the court said, is.
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Sufficient allegation of actual malice, that it was aware, the
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company was aware, and didn't take steps to block that.
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One more thing. I remember I mentioned that the claims.
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About him put out by AI Overview were mostly about allegations, again,
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false allegations, that he was serving a life sentence. Well,
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he was also— one.
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Of the allegations was also he was convicted of drug trafficking.
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And he says, well, that, too, is libelous, because, in fact,
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he was convicted of a felony conspiracy to distribute cocaine.
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That's not exactly drug trafficking. Court said close enough. Close enough,
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that's a legal term. No, legal term is substantial truth.
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But that is in fact a defense in libel cases or.
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Rather, let's say, be more precise, an argument for non-liability
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in libel cases. That if the statement is substantially true,
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If it has the same gist or sting as the truth,
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it doesn't matter if it may be technically, legally not
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completely accurate. So that's just a reminder that if there
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is possible, even if there is possible liability, there's still
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all the normal libel defenses available to the company, such
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as substantial truth.
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So that's an important point.
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Let me mention something about something the court didn't talk about,
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and that's 47 U.S.C. Section 230. And I think it
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was correct not to talk about it. So, as we know,
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Google has the protection of Section 230, Google and its
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main business of search. So, Section 230 says that an
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online service provider, an online content provider is not going
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to be liable for information provided by others. That's why
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Google can provide links to various pages and not be
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responsible for any falsehoods at those links in those pages,
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or any falsehoods in the little snippets that it outputs
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from those pages, the traditional Google search results.
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But the whole.
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Point of generative AI is that it's generative, is that
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it generates things. Here, it wasn't that Google was being
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held responsible for information provided by another content provider. The
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lawsuit seeks to hold it responsible for information provided by itself,
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by its own software. So there, Section 230 is not
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going to be a protection. I think there's pretty broad
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consensus among law professors and probably most impartial lawyers who
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consider the issue.
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That that is indeed so. So that's the big picture
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of Keene.
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I think on balance, this is, again, under current law,
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a correct decision. And it'll be interesting to see how
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things proceed after discovery, after summary judgment. It'll be interesting
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to see maybe Google will settle.
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Who knows? But that's the big summary. I'd love to
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hear what Larissa.
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has to say, I just should stress, I'm not sure
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this was in the biography, but in some respects, the
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most important thing about Larissa, there are many important things
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about Larissa, but for our purposes, she is the co-reporter
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for the American Law Institute's Restatement of Tort's Third, Defamation
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and Privacy, which she's currently working on together with Robert Post.
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And so she is.
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One of the leading academics in the country dealing with
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libel law, not just the way we academics usually do
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it by writing articles, but.
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She's actually co-drafting this article.
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This restatement, which is, of course, as lawyer listeners know,
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the restatements have been tremendously influential and continue to be
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tremendously influential. I'm not sure the restatement will have anything
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to say on AI as such.
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But she is certainly the expert on this subject. Larissa,
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take it away.
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Okay, so one of the interesting things here about the
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Keene case that distinguishes it from the earlier case, Walters
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versus OpenAI, which I had the good fortune to write
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about in one of my articles called Inevitable Errors, is
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that this case is It does illustrate that there are
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going to be inevitable errors in the form of hallucinations.
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And we know from the computer science literature that given
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how AI is constructed, we can't completely eliminate those. But
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both this case and the Starbuck case that we're going
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to talk about in just a minute involve what happens
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after that. Because both of the plaintiffs tried to notify
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Google of numerous times. Jimmy Keen three times, Starbuck numerous times.
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And then after notice, Google did not take sufficient steps,
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or at least so the allegation goes, to stop the
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defamatory hallucinations. And these are very serious allegations in both cases.
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I mean, the allegation that you were a murderer, it's
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easy to see how the hallucination happened. This was a
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guy who was a confidential informant about a serial killer,
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and it conflated information about the serial killer with information
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about Jimmy Keene. And given if you know anything about
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how AI works is probable tokens or words.
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That go together, it.
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Just conflated those two topics that were often combined together
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in sources.
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But the problem here in these cases.
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And what helps make out a case that the companies
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did have a mens rea that makes them culpable is
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that they got the notice and did nothing. And so
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even though I don't want to generalize too much from
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these cases because they're just on motions to dismiss, they're
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at very preliminary stages, and the standard for getting past
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a motion to dismiss is very, really pretty low, especially
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in state court in Delaware, where.
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One of these cases comes from.
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It just has to be reasonably conceivable allegations to get
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past the motion to dismiss. But what they're telling us
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about the company, the AI companies generally, is you better
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have a mechanism for people to give notice that you're
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getting outputs that are defamatory falsehood.
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And when they give that notice, you.
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Better take some kind of action to limit the subsequent
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production of defamatory falsehoods.
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Wow, so many rich areas for follow-ups.
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So, you know, Professor Liske, I'm glad that you mentioned
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the Starbuck case. Do you want to share a little
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bit about that case and how it's different from Keene?
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Okay, so the Keene case is in federal district court
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in Illinois. The Starbuck case is in state court in Delaware.
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And if you may remember, some of the important defamation
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litigation with the U.S. Dominion, the voting machine company, took
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place in Delaware and resulted in one of the largest
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defamation settlements. In fact, I think it is the largest
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defamation settlement in history.
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So, in.
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Delaware state court, to get passed a motion to dismiss,
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you only need to make reasonably conceivable allegations, because you
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have to put the defendant on notice of the claims
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you're going to be making. And so you have to
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keep that in mind, is the judge at every turn said,
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I'm going to give Starbuck the benefit of the doubt
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on all of these, whether he can prove these facts
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all in discovery is an open question. So Robbie Starbuck
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characterizes himself as an activist. And one of the issues
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that he has been an activist on is anti-DEI initiatives.
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So he has spoken out firmly about diversity and inclusion initiatives.
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And he was a music producer. He's fairly well known.
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He's out there on the internet. So he is a
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fairly public person as well. But what he is arguing
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is that the AI told him that it was engineered
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to produce lies about him deliberately.
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And so one of his arguments in his.
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Lawsuit is based on what the AI itself told him,
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that it was basically out on a campaign of character assassination.
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And if you read what he says it said about him,
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you can kind of see why he might believe that,
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because the allegations were, in fact, quite serious. It said
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he was a risk to children. He had a confirmed
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criminal record. He had sexually harassed multiple women. His nanny
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had accused him of abuse and neglect. It created a
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fictitious ex-wife, which is a special detail here. It even
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said he had been in the adult film industry and
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had used his power in the adult film industry to
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influence people to do things they weren't comfortable with. So
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the number and variety of defamatory allegations it made about
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Starbuck were many. By the way, his name does not
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have an S on the end. It's Starbuck, not Starbucks.
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And so he says he started by trying to get
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Google's attention by posting on X and linking to Google executives.
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And they did, in fact, he says, reach out to
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him based on that.
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And then he gets in contact with somebody within Google.
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He says that she apologized, tried to remedy his problem,
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but when she couldn't, she ended up resigning. But the
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point here is that there were multiple defamatory allegations. There
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were multiple.
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Attempts to give notice to Google.
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Google evidently seemed to promise that they'd do something, but
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in fact, never did.
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And he says that as a result of this, he
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actually had a death.
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Threat that somebody got arrested for. He had people come
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up to him and ask him about the allegations. His
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children received the allegations. And so Google came into the
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00:24:16.089 --> 00:24:18.970
complaint and said it needed to be dismissed for three reasons.
401
00:24:19.809 --> 00:24:24.750
It said, number one, is that there's no actual malice here.
402
00:24:25.660 --> 00:24:27.240
Or it didn't quite do them in this order.
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00:24:27.279 --> 00:24:30.039
But anyway, the most interesting one is it says there's
404
00:24:30.079 --> 00:24:34.259
no actual malice here. And the judge said, well, it
405
00:24:34.319 --> 00:24:39.339
seems to us that if you did nothing, then that
406
00:24:39.380 --> 00:24:43.269
could be reckless disregard for the falsity of your AI's output.
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00:24:44.789 --> 00:24:45.990
And if you did something and.
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00:24:47.690 --> 00:24:51.049
No, I'm sorry, if you did absolutely nothing, then it's intentional.
409
00:24:51.900 --> 00:24:55.559
that you maybe were intentionally defaming him. And for purposes
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of the complaint, it credited that the AI said, we're
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00:24:59.029 --> 00:25:02.549
doing this deliberately. But it said, if you tried to
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fix it and it didn't work, then that was reckless
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00:25:06.150 --> 00:25:11.539
disregard for the falsity of the defamatory content. Now, I
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00:25:11.579 --> 00:25:14.180
have to tell you, I think the judge is stretching
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a little bit the concept of reckless disregard. Some might
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00:25:17.000 --> 00:25:19.140
say that maybe that's just gross negligence.
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00:25:19.700 --> 00:25:22.269
Maybe it's not like I'm putting my head in the sand.
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But it's a fine line. You're walking there.
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And so the judge's point is a really interesting point
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00:25:28.789 --> 00:25:31.630
about if you did something ineptly.
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00:25:31.670 --> 00:25:33.710
It could be actual malice. And if you did nothing,
422
00:25:33.769 --> 00:25:34.650
it's actual malice.
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The Google tried to contest publication because there were some
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gaps in the complaint. Starbucks didn't exactly say to whom
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these defamatory statements.
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Had been released.
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And it does make you wonder if in discovery it
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comes out that there was a. pattern of searches by
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00:25:56.740 --> 00:26:00.359
Starbuck or his lawyer or somebody associated with Starbuck to
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00:26:00.400 --> 00:26:03.759
try to produce as many defamatory statements as possible because
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00:26:04.619 --> 00:26:07.289
it wasn't clear in the complaint to whom it was released.
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One of the interesting things, though, is Google said, well,
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it wasn't published because if it just went to you,
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it has to go to a third party in order
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00:26:16.109 --> 00:26:20.029
to be published for purposes of defamation. And here's where
436
00:26:20.089 --> 00:26:25.650
he got the Gemini. First it was BART and then Gemini,
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00:26:25.670 --> 00:26:28.410
but the Google admissions came into play.
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00:26:29.190 --> 00:26:30.539
Google told him.
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00:26:30.259 --> 00:26:33.960
It had released information about him to 2.8 million people.
440
00:26:37.519 --> 00:26:42.480
And again, so when Google is fighting the publication element,
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they say, well, you can't believe Google. So the judge says, well,
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for purposes of a motion to dismiss, we are going
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00:26:52.529 --> 00:26:57.710
to believe Google. And it's not necessarily true that 2.8
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million people received defamatory information about Mr.
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Starbuck.
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But at least one third party did based on that.
447
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And so we're going to let him go on sufficient
448
00:27:08.240 --> 00:27:12.019
evidence of publication to keep going. And then finally, there
449
00:27:12.059 --> 00:27:15.019
was an argument about damages. And this is really a
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topic we've been working on in the restatement. We're deep
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in the weeds on the damages portions of the restatement
452
00:27:21.299 --> 00:27:25.019
these days. And so this was of particular interest to me.
453
00:27:25.039 --> 00:27:30.920
But there was a conflict there. between Tennessee law and
454
00:27:32.240 --> 00:27:35.660
Delaware law as to how much information you had to
455
00:27:35.720 --> 00:27:38.589
prove to prove that you were injured by the defamatory statement.
456
00:27:39.430 --> 00:27:41.769
And under Delaware law, you didn't have to prove very much.
457
00:27:41.950 --> 00:27:44.450
And under Tennessee law, you did have to prove some
458
00:27:44.470 --> 00:27:48.390
degree of actual injury from the defamatory statement. But the
459
00:27:48.430 --> 00:27:52.039
court said it didn't matter which law applied because under
460
00:27:52.180 --> 00:27:57.460
any circumstances, Mr. Starbuck had shown emotional distress, particularly from
461
00:27:57.500 --> 00:28:00.490
these people coming up to him and his children and
462
00:28:01.130 --> 00:28:04.589
the threats against his family that he said were intensified
463
00:28:04.670 --> 00:28:07.900
after the shooting of Charlie Kirk. And so therefore, this
464
00:28:07.940 --> 00:28:10.640
information getting out to the public could lead to more
465
00:28:10.700 --> 00:28:13.710
threats to his family. So the judge said, there's enough
466
00:28:14.210 --> 00:28:17.369
information showing that you've suffered real damages to let this
467
00:28:17.410 --> 00:28:22.130
case go forward. But again, I think these these cases together,
468
00:28:22.549 --> 00:28:25.490
like you might be inclined to say, well, they're just
469
00:28:25.529 --> 00:28:28.910
motions to dismiss. Who knows what's really going to be
470
00:28:28.970 --> 00:28:30.279
proved in discovery?
471
00:28:30.670 --> 00:28:32.880
I seriously doubt if in.
472
00:28:32.819 --> 00:28:35.539
Discovery they're going to show that two point eight million
473
00:28:35.579 --> 00:28:38.559
people received a defamatory statement about Robbie Starbuck.
474
00:28:39.440 --> 00:28:40.450
Seriously doubt that.
475
00:28:41.740 --> 00:28:45.400
But what they are sending a clear signal on is
476
00:28:46.099 --> 00:28:49.200
if you are a generative AI company, you better get
477
00:28:49.240 --> 00:28:56.569
your notice and cure system, you know, working efficiently because.
478
00:28:56.349 --> 00:28:58.609
This is a scenario that's going to keep happening.
479
00:29:00.549 --> 00:29:02.900
Oh, my goodness. So many questions.
480
00:29:02.920 --> 00:29:04.859
So the first is I want to pick up on
481
00:29:05.319 --> 00:29:07.619
Professor Lusky, what you just mentioned about the notice and
482
00:29:07.660 --> 00:29:13.829
cure system. My understanding of these models is that every
483
00:29:13.849 --> 00:29:17.579
time it's kind of like this game of Russian roulette, right?
484
00:29:17.599 --> 00:29:20.240
And you sort of have these sort of probabilistic models
485
00:29:20.299 --> 00:29:26.319
and they're different ways. I mean, it's quite complex. There
486
00:29:26.339 --> 00:29:28.819
are sort of two potential cures here. Number one is,
487
00:29:28.839 --> 00:29:30.670
I think, Professor Volokh, your.
488
00:29:30.549 --> 00:29:35.329
Remedy is post-processing filters in a lookup table. Is that correct?
489
00:29:35.730 --> 00:29:38.769
That is one thing that I can just base. I
490
00:29:38.789 --> 00:29:42.039
was a computer programmer before. years back in the eighties.
491
00:29:42.160 --> 00:29:46.019
So we used to write programs by hammering them out
492
00:29:46.160 --> 00:29:49.349
on clay tablets. But it's the kind of thing you
493
00:29:49.369 --> 00:29:51.809
could imagine that if you had to, if you had
494
00:29:51.829 --> 00:29:55.380
to design it without actually, without being, being even in the,
495
00:29:55.470 --> 00:29:56.410
in the industry, you could.
496
00:29:56.309 --> 00:29:59.000
Say, look, There are technologies.
497
00:29:59.019 --> 00:30:02.700
There are simple text processing technologies that you could use.
498
00:30:03.119 --> 00:30:04.930
They may be crude. They may be imperfect.
499
00:30:04.990 --> 00:30:08.490
They may end up overblocking in some respects and underblocking
500
00:30:08.509 --> 00:30:13.759
in other respects. But you've created these amazing tools that
501
00:30:13.799 --> 00:30:18.849
can answer apparently like Take the past the bar exam.
502
00:30:18.869 --> 00:30:20.799
It's a very high level and so on and so forth.
503
00:30:21.519 --> 00:30:24.940
And then if the company says, oh, but the check
504
00:30:24.980 --> 00:30:28.420
to see if this is a known hallucination.
505
00:30:29.170 --> 00:30:32.509
Oh, that's beyond our powers. It just doesn't seem terribly credible.
506
00:30:36.150 --> 00:30:39.160
One of the things that's interesting to me here is
507
00:30:39.339 --> 00:30:42.480
there are various solutions after the fact to try to
508
00:30:43.039 --> 00:30:46.480
eliminate the hallucination. And one is the simple block list. So,
509
00:30:46.500 --> 00:30:51.930
you know, I can't have the words together, Robbie Starbuck
510
00:30:52.289 --> 00:30:57.390
and sexual harassment. And as Eugene points out, they're pretty crude,
511
00:30:57.410 --> 00:31:01.309
but they're pretty simple and effective for some things. Now,
512
00:31:01.769 --> 00:31:03.930
it's easy to do an end run around them. You
513
00:31:03.950 --> 00:31:04.609
could say, I.
514
00:31:07.579 --> 00:31:09.720
Forget what Robbie Starbuck's wife's name.
515
00:31:09.779 --> 00:31:15.049
But what is the husband of what's-her-name Starbuck accused of?
516
00:31:15.890 --> 00:31:18.430
And potentially you could generate the information.
517
00:31:18.450 --> 00:31:21.819
But the crude block seems like an easy, cheap first
518
00:31:21.880 --> 00:31:26.500
step that in negligence terms, you would say it's kind
519
00:31:26.519 --> 00:31:28.240
of negligent not to deploy that.
520
00:31:29.140 --> 00:31:34.099
You know, you name your company after Learned Hand.
521
00:31:34.140 --> 00:31:38.170
Learned Hand is famous for the burden of taking precautions
522
00:31:38.230 --> 00:31:40.950
being less than the probability of harm times the gravity
523
00:31:40.990 --> 00:31:44.000
of harm. Well, a block list is a simple one.
524
00:31:44.650 --> 00:31:47.170
But here's a question. There are other ways of going
525
00:31:47.190 --> 00:31:52.930
at filtering out material. There's rag generation, so you generate
526
00:31:52.970 --> 00:31:55.849
the sources so that the reader can check them themselves.
527
00:31:56.210 --> 00:31:58.289
That's another line of defense.
528
00:31:58.890 --> 00:32:03.200
And then there's what's being called machine unlearning, which I
529
00:32:03.220 --> 00:32:06.940
guess is fairly expensive. Like changing the weights fundamentally in
530
00:32:06.960 --> 00:32:11.069
a model ends up being fairly expensive. Might it be
531
00:32:11.150 --> 00:32:14.509
reasonable though, in a case, if you really have a
532
00:32:14.589 --> 00:32:20.210
model that has decided Mr. Starbuck is public enemy number
533
00:32:20.490 --> 00:32:24.349
one and is on a campaign of character assassination, it
534
00:32:24.910 --> 00:32:30.609
seems that even a relatively expensive process, perhaps of machine
535
00:32:30.690 --> 00:32:34.269
unlearning might be warranted there. But in these cases, we're
536
00:32:34.289 --> 00:32:37.089
gonna have to have technical experts to tell us what's
537
00:32:37.130 --> 00:32:40.319
feasible and what's not. And that standard is going to
538
00:32:40.339 --> 00:32:46.349
be constantly evolving extremely quickly as these cases get litigated. Yeah.
539
00:32:48.549 --> 00:32:53.599
Yeah, so that's absolutely right. And I think that there
540
00:32:53.660 --> 00:32:55.859
is a lot that the companies can do. But I
541
00:32:55.900 --> 00:32:58.380
will tell you one thing that I think they needn't
542
00:32:58.720 --> 00:33:01.599
do that I think the Delaware court may have erred
543
00:33:01.839 --> 00:33:05.059
on is I don't think they need to have to
544
00:33:05.119 --> 00:33:09.839
deal with someone saying, oh, your own chatbot admitted X.
545
00:33:10.119 --> 00:33:15.259
I don't think chatbots admit things. I think if it.
546
00:33:15.230 --> 00:33:17.829
Were a Google employee who said this, well, that might
547
00:33:17.849 --> 00:33:22.529
be enough. But given that we do know that chatbots
548
00:33:22.769 --> 00:33:26.380
not just sometimes make mistakes, humans sometimes make mistakes, but
549
00:33:26.420 --> 00:33:28.460
that chatbots don't actually.
550
00:33:29.789 --> 00:33:32.730
Report based on what we as humans know of as
551
00:33:32.829 --> 00:33:38.019
knowledge of information, but have these algorithms that are based
552
00:33:38.119 --> 00:33:40.640
on kind of the frequency of words being located together
553
00:33:40.700 --> 00:33:43.839
and such. I just don't think that their output should
554
00:33:43.880 --> 00:33:46.539
be seen as reliable evidence, not just for purposes of
555
00:33:47.039 --> 00:33:49.220
evidence law, but even for purposes of.
556
00:33:50.819 --> 00:33:52.460
What is a plausible allegation.
557
00:33:52.759 --> 00:34:00.150
Now, as Larissa pointed out, Delaware requires, I believe the
558
00:34:00.250 --> 00:34:07.400
standard is whether something that's alleged is conceivably true. Yeah, conceivable, yeah. Right,
559
00:34:07.779 --> 00:34:12.079
as opposed to plausible, which is the federal standard. So
560
00:34:12.139 --> 00:34:14.360
maybe that's the difference there. But I do think it's
561
00:34:14.380 --> 00:34:19.659
a mistake for courts to rely on allegations that are
562
00:34:19.699 --> 00:34:24.980
based just on This is the output that the chatbot produced.
563
00:34:26.420 --> 00:34:29.340
I agree. I found that troubling, even at the complaint stage,
564
00:34:29.619 --> 00:34:34.030
because it's such an unreliable... First off, the plaintiff's report
565
00:34:34.170 --> 00:34:36.989
of what the AI said to the plaintiff is a
566
00:34:37.030 --> 00:34:40.570
very unreliable piece of information. But I think one of
567
00:34:40.670 --> 00:34:46.159
the larger themes we're seeing across society here is... is
568
00:34:46.719 --> 00:34:48.739
the idea that you can just wave your hands and
569
00:34:48.780 --> 00:34:51.800
say technology and get a get out of jail free card.
570
00:34:52.320 --> 00:34:56.119
I think that era is definitively over. People are very
571
00:34:56.199 --> 00:35:02.070
suspicious of big tech platforms. They're very suspicious of AI.
572
00:35:03.530 --> 00:35:06.329
Especially when you have these AI doomers out there saying
573
00:35:06.449 --> 00:35:08.869
there's a 10% chance it's going to kill us all within,
574
00:35:08.889 --> 00:35:11.059
I forget how long.
575
00:35:11.059 --> 00:35:11.639
10 years, 20 years.
576
00:35:13.880 --> 00:35:17.630
People are just not accepting that AI should get a
577
00:35:17.769 --> 00:35:20.449
free pass to do whatever.
578
00:35:20.469 --> 00:35:23.190
We're not going to have a redo of Section 230
579
00:35:23.190 --> 00:35:26.389
for the social media platforms. If we have time, I
580
00:35:26.429 --> 00:35:29.539
want to come back to how these questions can be
581
00:35:30.079 --> 00:35:33.320
included under the umbrella of Section 230 and maybe whether
582
00:35:33.340 --> 00:35:34.780
a link to one of them would do it.
583
00:35:35.920 --> 00:35:37.199
One question before that, though, is.
584
00:35:39.170 --> 00:35:42.630
Professor Litsky and Professor Volokh, based on your sort of conversations,
585
00:35:42.650 --> 00:35:44.769
whether it's a lookup table, I mean, I can imagine,
586
00:35:44.789 --> 00:35:47.409
I mean, Gemini's answers are speedy quick.
587
00:35:47.869 --> 00:35:49.300
If you use them, they're so, so quick.
588
00:35:49.389 --> 00:35:52.199
And even like a lookup at Google scale, like I'm
589
00:35:52.219 --> 00:35:54.679
not sure that would probably double the latency, but they
590
00:35:54.719 --> 00:35:55.599
might decide that it's.
591
00:35:55.500 --> 00:35:59.460
Worth, right? Maybe not, maybe not. Lookups are pretty quick
592
00:35:59.539 --> 00:36:00.199
these days.
593
00:36:00.219 --> 00:36:02.519
I mean, this is, you're not going to have to
594
00:36:02.559 --> 00:36:04.980
do a sequential search through the list.
595
00:36:05.920 --> 00:36:07.420
Even back in the 80s, you could have like a
596
00:36:07.519 --> 00:36:08.400
hash table.
597
00:36:08.860 --> 00:36:11.820
It's not going to slow things down that much.
598
00:36:11.900 --> 00:36:14.300
Regardless, this is that there's like an escalating level of
599
00:36:14.320 --> 00:36:15.199
technical complexity.
600
00:36:15.219 --> 00:36:17.710
Like theoretically, a product council at Google could say, OK,
601
00:36:17.760 --> 00:36:18.619
we'll start with a lookup.
602
00:36:19.019 --> 00:36:21.590
And then we can escalate to something else. And then
603
00:36:21.610 --> 00:36:22.889
we can go to machine unlearning.
604
00:36:22.929 --> 00:36:25.630
And we can queue those every two months when the
605
00:36:25.670 --> 00:36:28.170
model is trained, et cetera, and have. And that's probably
606
00:36:28.190 --> 00:36:29.869
the shape it's going to take. Another approach would be
607
00:36:29.889 --> 00:36:31.809
a little more cold-blooded and say, look, there are nine
608
00:36:31.849 --> 00:36:33.070
cases over three years.
609
00:36:33.230 --> 00:36:33.469
Right.
610
00:36:33.909 --> 00:36:37.639
Is this just the cost of doing business? One thing
611
00:36:37.679 --> 00:36:40.659
that struck me is I would have expected with all
612
00:36:40.719 --> 00:36:44.119
the AI, In sort of my line of work, we
613
00:36:44.139 --> 00:36:46.260
see sort of AI lawsuits coming through the roof and
614
00:36:46.280 --> 00:36:47.559
we're trying to help courts.
615
00:36:47.480 --> 00:36:49.300
Handle that sort of deluge.
616
00:36:49.860 --> 00:36:55.050
I'm shocked that there haven't been more defamation cases against
617
00:36:55.090 --> 00:36:55.590
the model.
618
00:36:56.130 --> 00:36:58.090
What gives? Why have there been so few?
619
00:36:58.110 --> 00:37:02.150
Yeah, and it's personal for me because I wrote the
620
00:37:02.230 --> 00:37:04.969
article and each case is an opportunity for someone to
621
00:37:05.050 --> 00:37:05.449
cite it.
622
00:37:06.030 --> 00:37:08.030
And people are.
623
00:37:07.969 --> 00:37:13.679
Maliciously, designedly refusing to file these lawsuits that make my.
624
00:37:13.599 --> 00:37:17.159
Article more important. You might need to have some interns
625
00:37:17.340 --> 00:37:18.820
sort of to end up some lawsuits on the subject.
626
00:37:18.860 --> 00:37:21.079
There you go.
627
00:37:21.639 --> 00:37:23.719
I mean, Professor Lissky, you also sort of predicted there
628
00:37:23.739 --> 00:37:24.980
would be a new form of borrower trade.
629
00:37:25.019 --> 00:37:28.519
So do either of you have— I did.
630
00:37:28.579 --> 00:37:31.260
I talked about that.
631
00:37:31.469 --> 00:37:34.750
If you just sit there searching yourself, doing vanity searches
632
00:37:34.829 --> 00:37:37.429
over and over until it says something defamatory about you,
633
00:37:37.769 --> 00:37:41.070
if that's enough to generate a case, it's truly problematic.
634
00:37:41.150 --> 00:37:43.719
And so to that extent, I do think we need
635
00:37:43.780 --> 00:37:48.159
a little bit of a technological understanding in defamation law
636
00:37:48.659 --> 00:37:53.440
that a single hallucinatory output to a single person who's
637
00:37:53.480 --> 00:37:56.840
looking for it is maybe not the basis for a good.
638
00:37:56.739 --> 00:38:00.280
Case doesn't that doesn't that relate to the publication requirement
639
00:38:00.409 --> 00:38:03.489
meaning because i think it is sort of a naive
640
00:38:03.550 --> 00:38:06.929
approach i think that that strikes me as the the
641
00:38:06.989 --> 00:38:10.610
strongest argument meaning you at least for allegations you need
642
00:38:10.650 --> 00:38:14.150
to show over many different ip servers with different vpns
643
00:38:14.190 --> 00:38:15.989
or etc to show that this is something.
644
00:38:15.750 --> 00:38:18.949
That's innate to the model and is getting published.
645
00:38:18.969 --> 00:38:21.329
Not only as a matter of liability not just as
646
00:38:21.369 --> 00:38:21.739
a matter of.
647
00:38:21.739 --> 00:38:22.420
Damages so.
648
00:38:23.889 --> 00:38:26.650
Where do you predict that courts will end up on
649
00:38:26.670 --> 00:38:27.889
the publication requirements?
650
00:38:29.510 --> 00:38:33.070
So, you know, the standard rule in defamation is that
651
00:38:33.130 --> 00:38:35.599
it only needs to be published to one third party. Now,
652
00:38:37.420 --> 00:38:39.539
if it only was published to one third party, it
653
00:38:39.599 --> 00:38:43.179
may affect the quantum of damages. The danger here is
654
00:38:43.199 --> 00:38:46.929
if it is published to one third party, First off,
655
00:38:46.949 --> 00:38:50.469
they can republish it, and so the harm could come
656
00:38:50.510 --> 00:38:53.210
from the repetition of the defamatory falsehood by that one
657
00:38:53.230 --> 00:38:56.070
third party if they're a reporter, for example, and they
658
00:38:56.280 --> 00:39:01.699
rely unthinkingly without verification on that information. But the other
659
00:39:01.719 --> 00:39:05.000
thing is if one third party– and the judge in
660
00:39:05.039 --> 00:39:08.710
Starbucks seemed to think about this– If it's published to
661
00:39:08.889 --> 00:39:12.190
one third party, how many other third parties that you
662
00:39:12.269 --> 00:39:16.380
don't know about also received it? And what's unique about
663
00:39:16.420 --> 00:39:18.320
these cases is we may be able to have a
664
00:39:18.380 --> 00:39:19.079
record of that.
665
00:39:19.719 --> 00:39:21.659
So to the extent that.
666
00:39:21.239 --> 00:39:23.699
We have logs that we can see who searched for
667
00:39:23.760 --> 00:39:26.789
Robbie Starbuck and what were they told when they searched
668
00:39:26.809 --> 00:39:31.440
for Robbie Starbuck, we might be able to unlike an
669
00:39:31.539 --> 00:39:38.619
ordinary defamation case, really very accurately verify the primary extent
670
00:39:38.659 --> 00:39:39.199
of the audience.
671
00:39:39.260 --> 00:39:41.119
Of course, they might have said it to other people.
672
00:39:42.489 --> 00:39:46.829
But there's a tool here for really, I don't think
673
00:39:46.869 --> 00:39:49.889
the publication element will change, but I do think our
674
00:39:49.929 --> 00:39:53.369
demand that the damages be real might be affected by
675
00:39:53.409 --> 00:39:54.170
these cases.
676
00:40:00.599 --> 00:40:04.559
Is there not an argument, though, that one chat results?
677
00:40:05.239 --> 00:40:07.460
I mean, even the word chat seems to be that it's...
678
00:40:09.679 --> 00:40:11.619
It's almost like an individual email.
679
00:40:11.639 --> 00:40:13.559
I would say it's more akin to that.
680
00:40:14.139 --> 00:40:18.800
I guess, what is the standard for publication?
681
00:40:19.099 --> 00:40:20.539
Publication is one person.
682
00:40:20.920 --> 00:40:21.579
One person.
683
00:40:21.980 --> 00:40:26.239
And there's a classic illustration of libel.
684
00:40:26.519 --> 00:40:27.039
A letter.
685
00:40:27.780 --> 00:40:30.699
Yeah. Send a letter to someone saying, this person you're
686
00:40:30.719 --> 00:40:31.619
about to marry.
687
00:40:33.260 --> 00:40:33.880
That's enough.
688
00:40:33.900 --> 00:40:36.699
Criminal record or abused me or whatever else.
689
00:40:37.099 --> 00:40:37.170
Or.
690
00:40:38.150 --> 00:40:41.280
I mean, that is a hornbook illustration, especially from back
691
00:40:41.320 --> 00:40:45.199
in the day when I was about to say when
692
00:40:45.219 --> 00:40:47.389
people were pickier about whom they married. That's not right.
693
00:40:48.610 --> 00:40:50.949
But when when the kinds of allegations may have been
694
00:40:50.989 --> 00:40:54.030
somewhat different. But these days, one thing that's very common
695
00:40:54.090 --> 00:41:00.280
is job references. If somebody says, if someone asks me, oh, should.
696
00:41:00.239 --> 00:41:01.539
I hire so-and-so?
697
00:41:01.579 --> 00:41:05.820
I say, no, we fired him because he was stealing
698
00:41:05.860 --> 00:41:09.500
from petty cash. That is publication, even though it's said
699
00:41:09.539 --> 00:41:13.280
to one person. That is a well-established principle of defamation law.
700
00:41:13.989 --> 00:41:18.570
It's even publication, if it's foreseeable, a piece of snail
701
00:41:18.610 --> 00:41:22.559
mail that goes to their executive assistant. If you know
702
00:41:22.579 --> 00:41:25.260
they're going to open it first, if it's reasonably foreseeable
703
00:41:25.300 --> 00:41:27.469
that that third person is the person who gets it,
704
00:41:27.800 --> 00:41:31.780
that's publication. So publication is really a very low standard.
705
00:41:32.460 --> 00:41:32.679
Right.
706
00:41:32.800 --> 00:41:34.610
But plus also one other thing, if you think about it,
707
00:41:36.119 --> 00:41:38.300
how do websites, say something is put.
708
00:41:38.219 --> 00:41:40.760
On a website, we think that's quintessential publication. Well, how
709
00:41:40.780 --> 00:41:43.409
do websites work? Well, one.
710
00:41:44.900 --> 00:41:48.000
User at a time, one set of messages at a time.
711
00:41:49.179 --> 00:41:50.840
Even if 10,000 people.
712
00:41:50.570 --> 00:41:53.449
Visit the website and see something, each one is getting
713
00:41:53.489 --> 00:41:55.769
just a message in response to a query.
714
00:41:56.949 --> 00:41:58.940
That doesn't keep it from being publication.
715
00:42:01.519 --> 00:42:05.260
I mean, one thing that the question implicates is maybe
716
00:42:06.030 --> 00:42:08.670
one model of thinking about these is thinking about them
717
00:42:08.750 --> 00:42:12.610
like distributors, which are not treated like traditional publishers.
718
00:42:13.349 --> 00:42:18.599
So, you know, a conduit for information.
719
00:42:18.619 --> 00:42:23.619
And so it's they're not responsible for the information until
720
00:42:23.639 --> 00:42:25.980
they're put on notice of the contents and then fail
721
00:42:26.000 --> 00:42:30.449
to do something, right? So that's one argument is that
722
00:42:30.670 --> 00:42:33.039
they're not really like.
723
00:42:32.920 --> 00:42:35.860
A newspaper in the way they're putting out information.
724
00:42:35.960 --> 00:42:40.800
They're more like a telephone or telegraph until notice occurs
725
00:42:40.900 --> 00:42:41.570
or a bookstore.
726
00:42:42.099 --> 00:42:42.280
Right.
727
00:42:42.320 --> 00:42:45.980
So I can imagine that being a rule that's adopted.
728
00:42:46.440 --> 00:42:50.119
One thing I should stress is that they really are
729
00:42:50.159 --> 00:42:52.920
in many ways like traditional publishers in that they're the
730
00:42:53.019 --> 00:42:55.510
ones who actually create the output.
731
00:42:56.409 --> 00:42:59.969
They being the company. The company creates the output. So traditional.
732
00:43:00.590 --> 00:43:04.530
The one reason why bookstores and newsstands are treated as
733
00:43:04.989 --> 00:43:08.469
distributors and even under the old libel law, which was
734
00:43:08.530 --> 00:43:13.750
quite friendly to strict liability, even in certainly negligence liability required.
735
00:43:14.670 --> 00:43:16.849
Distributors were only liable if they really were on.
736
00:43:16.849 --> 00:43:19.949
Notice that something was defamatory. You can't expect a bookstore
737
00:43:19.989 --> 00:43:24.980
owner to read every book. that's on the shelves. You
738
00:43:25.000 --> 00:43:31.119
can't expect a newsstand operator to read every issue of
739
00:43:31.300 --> 00:43:33.550
a newspaper that arrives.
740
00:43:33.250 --> 00:43:33.829
In the morning.
741
00:43:35.570 --> 00:43:39.829
But I think people would say you can expect companies
742
00:43:39.889 --> 00:43:44.960
to at least have mechanisms for making sure that what
743
00:43:45.019 --> 00:43:48.019
is after all created by them and let out by
744
00:43:48.079 --> 00:43:52.300
them into the stream of commerce is accurate.
745
00:43:52.530 --> 00:43:54.269
By the way, one thing we haven't talked about yet,
746
00:43:54.369 --> 00:43:55.590
but I'm sorry, Larissa.
747
00:43:56.030 --> 00:43:57.650
Yeah, just one point on that, though.
748
00:43:57.670 --> 00:44:01.110
I mean, given the way generative AI works, can you
749
00:44:01.190 --> 00:44:03.789
expect there never to be a defamatory hallucination?
750
00:44:04.349 --> 00:44:04.610
Right.
751
00:44:04.690 --> 00:44:07.260
So I don't think you can expect there never to be.
752
00:44:07.539 --> 00:44:08.519
So here's my thing.
753
00:44:08.539 --> 00:44:10.260
And this is something we haven't much talked about because
754
00:44:10.300 --> 00:44:12.349
both of the cases we talked about, Keene and Starbuck,
755
00:44:12.369 --> 00:44:18.199
involved basically people who are police limited purpose public. The
756
00:44:18.260 --> 00:44:21.420
official standard is negligence, at least if you can prove
757
00:44:21.920 --> 00:44:26.400
actual compensatory damages. There is a very interesting case in
758
00:44:26.440 --> 00:44:31.480
Minnesota being litigated now in Minnesota trial court, which both
759
00:44:31.519 --> 00:44:37.179
of us have written about, called LTL. And it involved
760
00:44:37.260 --> 00:44:41.739
a company, a solar panel installation company.
761
00:44:42.659 --> 00:44:44.820
That alleged, I think correctly alleged, I.
762
00:44:44.800 --> 00:44:48.570
Think I repeated the query and saw the same results
763
00:44:48.610 --> 00:44:54.070
at one point, that Google was outputting false statements about
764
00:44:54.110 --> 00:44:57.070
it and says, look, here we actually have, people talk,
765
00:44:57.150 --> 00:44:59.929
bring receipts. Well, we have receipts are very close to it.
766
00:45:00.250 --> 00:45:03.090
We have emails from people saying, we're not doing business
767
00:45:03.110 --> 00:45:06.800
with you anymore. After all, you guys are being investigated
768
00:45:06.880 --> 00:45:09.739
by the state attorney general for consumer fraud. They're not
769
00:45:09.800 --> 00:45:13.320
being investigated. Nobody had said they were being investigated until
770
00:45:13.559 --> 00:45:16.010
Google output that.
771
00:45:16.309 --> 00:45:17.530
So, they're saying negligence.
772
00:45:18.130 --> 00:45:18.329
Well.
773
00:45:19.510 --> 00:45:22.409
One, I think, close analogy, and it's just an analogy, it's.
774
00:45:22.369 --> 00:45:25.690
Not that the law would actually apply here by its
775
00:45:25.750 --> 00:45:27.760
own terms, but I think it's a helpful analogy.
776
00:45:28.099 --> 00:45:32.659
Is design defect liability for products, right? So let's say
777
00:45:32.679 --> 00:45:34.940
it was a self-driving car, and let's say it caused
778
00:45:34.980 --> 00:45:35.159
not a.
779
00:45:35.119 --> 00:45:37.739
Reputational injury, but physical injury.
780
00:45:38.099 --> 00:45:40.920
Design defect liability is basically negligence.
781
00:45:40.519 --> 00:45:44.840
Liability, because you're only liable if The defendant is only
782
00:45:44.880 --> 00:45:46.599
liable if the design was unreasonable.
783
00:45:46.639 --> 00:45:47.980
How do we tell if it's unreasonable?
784
00:45:48.460 --> 00:45:51.840
Well, it depends if there were cost effective mechanisms for
785
00:45:51.900 --> 00:45:52.360
solving that.
786
00:45:52.400 --> 00:45:54.969
Again, the learn at hand formula.
787
00:45:55.829 --> 00:45:58.909
And Shlomo, I think this responds a little bit to
788
00:45:58.949 --> 00:46:00.849
your point about, well, what if it just didn't?
789
00:46:01.269 --> 00:46:03.909
Slows things down too much. Well, it's kind of like
790
00:46:04.250 --> 00:46:06.170
with a car manufacturer.
791
00:46:06.469 --> 00:46:09.469
If you say you could have installed this new feature
792
00:46:10.090 --> 00:46:12.110
that would have avoided this accident, the car manufacturer says
793
00:46:12.139 --> 00:46:14.539
it would have cost $ 50, 000. It would have increased the
794
00:46:14.559 --> 00:46:16.920
price of the car by $ 50, 000. It would have made
795
00:46:16.940 --> 00:46:20.619
it unaffordable to people. The law, at least in theory, says, OK, fine,
796
00:46:20.659 --> 00:46:21.940
that is it.
797
00:46:21.920 --> 00:46:23.789
Was reasonable for you not to include it.
798
00:46:23.900 --> 00:46:27.420
But if you avoided including a five dollar feature, well,
799
00:46:27.460 --> 00:46:30.320
then in that case, it was unreasonable potentially for you.
800
00:46:30.659 --> 00:46:34.000
So I think something similar would happen here. I think
801
00:46:34.019 --> 00:46:36.019
they could say, look, we did the best we could.
802
00:46:36.780 --> 00:46:38.800
We were aware we were putting out this thing that
803
00:46:38.840 --> 00:46:43.079
is dangerous, again, dangerous to reputation, not to people's bodies.
804
00:46:43.139 --> 00:46:47.980
But libel law allows for the recovery for negligent harm
805
00:46:48.219 --> 00:46:50.539
for reputation, the way the design defect law does for
806
00:46:50.599 --> 00:46:51.980
negligent harm to people's.
807
00:46:51.719 --> 00:46:56.469
Bodies and property. So they could say, look, we did
808
00:46:56.489 --> 00:46:57.019
the best we.
809
00:46:56.949 --> 00:47:00.010
Could under the circumstances. And the plaintiffs say, no, no, no,
810
00:47:00.030 --> 00:47:01.969
look what else you could have done. The result, of course,
811
00:47:01.989 --> 00:47:04.949
would be a battle of the experts. which is never
812
00:47:04.989 --> 00:47:09.190
particularly edifying, I think. And there's always questions of whether
813
00:47:09.230 --> 00:47:11.369
the jury is going to be able to tell which
814
00:47:11.409 --> 00:47:16.570
computer science professor is more accurate here. But that's just
815
00:47:16.610 --> 00:47:19.050
the way we do things in our legal system, in
816
00:47:19.070 --> 00:47:22.539
the context of product liability, in the context of medical
817
00:47:22.579 --> 00:47:28.099
malpractice liability and the like. And, you know, things go on.
818
00:47:28.179 --> 00:47:30.400
It's sort of seen as the least bad of the options.
819
00:47:30.420 --> 00:47:32.400
So maybe that's the way things might play out. What
820
00:47:32.420 --> 00:47:32.860
do you think, Lisa?
821
00:47:33.400 --> 00:47:35.800
There's already precedent for that in the Walters versus open
822
00:47:35.840 --> 00:47:40.329
AI summary judgment, because they're the judge credited experts that said,
823
00:47:40.449 --> 00:47:43.909
we designed this, you know, in the, we did, we
824
00:47:43.969 --> 00:47:48.090
used every available safety mechanism we could to try to
825
00:47:48.130 --> 00:47:51.250
eliminate this kind of hallucination and to warn and, and
826
00:47:51.650 --> 00:47:55.110
so forth. So the warnings will come into play as well.
827
00:47:55.170 --> 00:47:57.840
What kinds of disclaimers, what kinds of warnings, what kinds
828
00:47:57.980 --> 00:48:02.800
of design choices are, are sufficient to protect against these harms.
829
00:48:03.579 --> 00:48:03.800
Right.
830
00:48:04.199 --> 00:48:07.340
Yeah, I think that's absolutely right. And I do think that, Larissa,
831
00:48:07.360 --> 00:48:09.900
what you said is, I think, quite important. Disclaimers won't
832
00:48:09.940 --> 00:48:15.110
get the company off the hook categorically, but they surely
833
00:48:15.179 --> 00:48:18.309
are relevant in various contexts.
834
00:48:18.389 --> 00:48:21.739
And sometimes... The way you do things.
835
00:48:21.579 --> 00:48:24.960
More reasonably, maybe the only reasonable thing you could do
836
00:48:25.059 --> 00:48:28.639
is to have a prominent disclaimer or something like that.
837
00:48:29.960 --> 00:48:34.400
So they're certainly relevant to the analysis, even.
838
00:48:34.280 --> 00:48:34.800
If they're not.
839
00:48:35.400 --> 00:48:38.239
Well, the other thing that's relevant to the analysis is
840
00:48:38.300 --> 00:48:41.949
including links to sources that have the information for the.
841
00:48:41.929 --> 00:48:42.869
User to verify.
842
00:48:43.429 --> 00:48:45.630
And then you may get some negligence on the part
843
00:48:45.769 --> 00:48:50.250
of the prompter or user if there's easy verification available
844
00:48:50.389 --> 00:48:52.469
and they choose not to take advantage of it.
845
00:48:52.469 --> 00:48:54.050
I'm sorry.
846
00:48:54.090 --> 00:48:54.360
Go on.
847
00:48:54.409 --> 00:48:54.929
Go on, Larissa.
848
00:48:54.969 --> 00:48:56.519
Sorry. Well, I was going to say, I think a
849
00:48:56.539 --> 00:49:02.039
journalist who uses information from AI without verifying it. very
850
00:49:02.119 --> 00:49:06.900
likely could have actual malice in repeating that statement because,
851
00:49:06.920 --> 00:49:10.750
you know, lawyers right now are finding out using AI
852
00:49:11.110 --> 00:49:15.309
information without verification can get you sanctioned and cause a
853
00:49:15.449 --> 00:49:16.650
serious professional harm.
854
00:49:17.030 --> 00:49:20.920
Right. So this may be one thing that. maybe Larissa
855
00:49:20.960 --> 00:49:23.639
and I do disagree in some measure on here. So
856
00:49:23.739 --> 00:49:25.420
one thing I want to point out, and I think
857
00:49:25.679 --> 00:49:26.860
Larissa and I would agree.
858
00:49:26.639 --> 00:49:29.179
On this as a descriptive matter, although maybe we have
859
00:49:29.239 --> 00:49:33.900
different sense of the implications of this, is AI. If
860
00:49:34.280 --> 00:49:40.500
somebody carelessly relies on AI output in just not doing
861
00:49:40.539 --> 00:49:42.719
business with someone or in cutting off a contract or
862
00:49:42.760 --> 00:49:46.420
something like that, we might loosely call them negligent, but
863
00:49:46.440 --> 00:49:51.610
there's no way that the defamed person can recover from that.
864
00:49:52.250 --> 00:49:55.969
There's no tort of negligent failure to do business with.
865
00:49:55.869 --> 00:49:59.090
Someone, right? Or....
866
00:50:01.010 --> 00:50:04.719
Somebody sent a letter to my fiance and she broke
867
00:50:04.739 --> 00:50:06.460
it off with me and it was really foolish of
868
00:50:06.480 --> 00:50:07.980
her to believe that. I'm going to sue her for
869
00:50:08.119 --> 00:50:14.960
negligent failure to marry me, right? So there wouldn't be
870
00:50:15.139 --> 00:50:21.710
any recourse for a defamed person against people who believed,
871
00:50:21.769 --> 00:50:26.510
however foolishly, believed the defamation. But with regard to somebody
872
00:50:26.530 --> 00:50:30.400
who then republishes it, Larissa, I think you're right that
873
00:50:30.440 --> 00:50:34.820
there might be in principle some recourse.
874
00:50:34.860 --> 00:50:36.199
But let me ask a couple of things.
875
00:50:36.239 --> 00:50:42.789
First of all, let's say that a reporter thoughtlessly— literally
876
00:50:42.889 --> 00:50:46.230
thoughtlessly in the sense of without thinking about.
877
00:50:46.179 --> 00:50:48.440
There might be an error, however.
878
00:50:47.960 --> 00:50:53.179
Foolishly, however carelessly, but thoughtlessly republishes something that he or
879
00:50:53.219 --> 00:50:56.940
she saw in AI.
880
00:50:56.880 --> 00:50:59.239
Output, would that be actual malice? I think it could
881
00:50:59.260 --> 00:51:01.550
be gross negligence, but I don't think it would be
882
00:51:01.650 --> 00:51:02.349
actual malice.
883
00:51:03.210 --> 00:51:06.690
You know, I guess it depends on what you think
884
00:51:07.190 --> 00:51:11.409
the reliance is. I often talk to my students about
885
00:51:11.429 --> 00:51:16.409
conscious disregard of falsity as the ostrich defense. You put
886
00:51:16.449 --> 00:51:20.889
your head in the sand and you avoid knowing the truth.
887
00:51:20.909 --> 00:51:23.769
Right, but I'm thinking of a non-conscious disregard.
888
00:51:23.789 --> 00:51:27.320
Just somebody gets up on the stand afterwards and says, look,
889
00:51:28.360 --> 00:51:29.010
I realize what this is.
890
00:51:29.639 --> 00:51:33.230
Totally idiotic for me to just believe it, but I
891
00:51:33.250 --> 00:51:34.150
just zoned out.
892
00:51:34.789 --> 00:51:37.150
You could argue it's gross negligence. I think it's at
893
00:51:37.190 --> 00:51:40.239
least arguable. It would be reckless disregard for the truth.
894
00:51:40.719 --> 00:51:43.900
And as time goes on.
895
00:51:44.079 --> 00:51:46.320
The valence on that may change. Right.
896
00:51:46.550 --> 00:51:48.949
So here, let me ask you another question. And this
897
00:51:48.989 --> 00:51:53.030
is about Section 230. So Section 230 won't provide protection
898
00:51:53.409 --> 00:51:58.090
for the AI company. I think we agree on that
899
00:51:58.139 --> 00:52:00.039
because they're the ones who generate the out.
900
00:52:00.059 --> 00:52:01.320
They generate it, yeah.
901
00:52:01.880 --> 00:52:09.739
But Section 230 does provide protection for online speakers. So
902
00:52:09.780 --> 00:52:11.389
this would only be for an online reporter.
903
00:52:11.409 --> 00:52:11.590
Right.
904
00:52:12.179 --> 00:52:20.449
Who merely pass along information provided by other online speakers. So,
905
00:52:21.050 --> 00:52:23.269
I wonder if, and maybe this is just a defect
906
00:52:23.309 --> 00:52:25.949
with Section 230, but I wonder if the reporter, if
907
00:52:25.989 --> 00:52:29.929
the reporter publishes only electronically and not on paper, in
908
00:52:29.969 --> 00:52:35.679
your scenario, the reporter who foolishly relies on the AI
909
00:52:36.409 --> 00:52:39.179
output might actually have a Section 230 immunity because he's
910
00:52:39.199 --> 00:52:41.559
just passing along whatever he got online.
911
00:52:44.360 --> 00:52:45.679
You know, that's a good question.
912
00:52:46.010 --> 00:52:48.889
I think on a very technical reading of 230, maybe
913
00:52:48.929 --> 00:52:49.610
you could get there.
914
00:52:49.650 --> 00:52:51.809
I don't think that's what 230 was meant to do.
915
00:52:51.909 --> 00:52:52.210
Right.
916
00:52:53.130 --> 00:52:53.489
And, you.
917
00:52:54.989 --> 00:52:58.269
Know, as a policy reading of 230, you probably shouldn't
918
00:52:58.309 --> 00:52:58.750
go there.
919
00:52:59.320 --> 00:53:00.599
But I think you're right.
920
00:53:00.699 --> 00:53:03.760
On a very technical reading, they could argue that 230
921
00:53:03.760 --> 00:53:07.980
absolved them because it's not user-generated content, but it's content
922
00:53:08.179 --> 00:53:09.599
generated by another company.
923
00:53:10.019 --> 00:53:11.159
Right, right, right.
924
00:53:11.579 --> 00:53:16.579
So there's a science fiction novel that I love, excellent one,
925
00:53:16.920 --> 00:53:21.250
probably one of my favorites, by an author who happened
926
00:53:21.269 --> 00:53:23.570
to be a computer science professor, Werner Wenge, he died
927
00:53:23.590 --> 00:53:24.230
a few years ago.
928
00:53:24.250 --> 00:53:26.150
It's called A Fire Upon the Deep.
929
00:53:27.409 --> 00:53:32.260
And it's set in the far future, but there is
930
00:53:32.320 --> 00:53:35.980
this interstellar network that was clearly based on.
931
00:53:35.940 --> 00:53:37.920
The early internet. In fact, if anything, the.
932
00:53:38.719 --> 00:53:42.599
Pre-modern so-called use net but there was a line that
933
00:53:42.639 --> 00:53:46.199
people would use there which just like a proverb a
934
00:53:46.239 --> 00:53:47.619
far future proverb.
935
00:53:47.300 --> 00:53:49.059
That was they don't call it the net of a
936
00:53:49.119 --> 00:53:50.699
million lies for nothing.
937
00:53:52.079 --> 00:53:54.949
So so boy has that proven true so the internet
938
00:53:54.989 --> 00:53:55.710
generally and.
939
00:53:55.630 --> 00:53:57.690
Now it seems to be ai by the way before
940
00:53:57.730 --> 00:54:00.409
we go uh shlomo i just wanted to mention one
941
00:54:00.449 --> 00:54:02.130
thing for the benefit of our readers i'm sure you
942
00:54:02.190 --> 00:54:06.809
are well acquainted with this but learned hand learned wasn't.
943
00:54:07.329 --> 00:54:11.849
The judge's first name The first name was Billings, which
944
00:54:11.929 --> 00:54:14.570
for a lawyer, how much better for a male lawyer?
945
00:54:15.090 --> 00:54:17.670
For a female lawyer, the best name is just Sue.
946
00:54:18.130 --> 00:54:21.570
That's very common. But for a male lawyer, Billings, how
947
00:54:21.630 --> 00:54:23.449
much better can you get than that? I guess when
948
00:54:23.489 --> 00:54:26.570
he became a judge, he had to call his learner because,
949
00:54:26.610 --> 00:54:29.119
you know, he didn't bill by the hour. Truly, it's
950
00:54:29.139 --> 00:54:31.780
his parents who are most foresighted in this.
951
00:54:32.159 --> 00:54:32.480
Yeah.
952
00:54:33.320 --> 00:54:36.039
His uh i i wonder what was going in the
953
00:54:36.079 --> 00:54:40.539
hand family table with him and his uh cousin augustus noble.
954
00:54:42.650 --> 00:54:47.570
So um okay well uh any other final comments uh
955
00:54:47.829 --> 00:54:50.900
before uh we wrap up what was i think a very.
956
00:54:51.699 --> 00:54:55.059
Uh informative uh panel there are a few questions from
957
00:54:55.099 --> 00:54:56.659
the audience but i'm not sure we'll have time.
958
00:54:56.480 --> 00:54:59.449
To Oh, I'm so sorry, yeah. No, no, no, this is...
959
00:54:59.570 --> 00:55:02.210
Not so carried away. We have time for one? Do
960
00:55:02.250 --> 00:55:04.710
we have time for one? All right, I'll be quick.
961
00:55:04.789 --> 00:55:09.250
One is about traditional actual malice doctrine requires the relevant
962
00:55:09.269 --> 00:55:11.510
state of mind of an institutional defendant to be, quote,
963
00:55:11.690 --> 00:55:14.989
brought home, unquote, to those responsible for publication. How should
964
00:55:15.010 --> 00:55:17.329
that role operate when a corporate defendant deploys an AI
965
00:55:17.369 --> 00:55:21.429
system that generates and publishes the particular factual assertion without
966
00:55:21.530 --> 00:55:24.019
any human having composed.
967
00:55:24.079 --> 00:55:26.639
Reviewed, or perhaps even known of that assertion before publication?
968
00:55:27.139 --> 00:55:31.260
Is existing institutional attribution doctrine sufficient or does autonomous AI
969
00:55:31.300 --> 00:55:35.320
publication create an accountability gap requiring a new theory of attribution?
970
00:55:37.820 --> 00:55:39.860
I think in these cases we talked about today, it's
971
00:55:39.880 --> 00:55:43.530
pretty easy because you have notice and it's what happens
972
00:55:43.710 --> 00:55:46.170
after notice. It's easy enough to prove actual malice with
973
00:55:46.230 --> 00:55:49.909
regard to action or inaction after notice. I think the
974
00:55:49.949 --> 00:55:54.489
harder question is applying actual malice to cases before notice.
975
00:55:55.130 --> 00:55:55.550
Right.
976
00:55:55.769 --> 00:55:59.199
And so I think that's very hard to do because
977
00:55:59.219 --> 00:56:01.039
all you would.
978
00:56:00.579 --> 00:56:03.840
Like, I don't think saying statistically it produces a certain
979
00:56:03.900 --> 00:56:07.079
number of hallucinations is enough to put you on notice
980
00:56:07.119 --> 00:56:09.230
of a specific defamatory falsehood.
981
00:56:09.989 --> 00:56:11.210
And what I would do.
982
00:56:11.130 --> 00:56:13.710
Is adapt the doctrine to say that, that you have
983
00:56:13.730 --> 00:56:15.949
to at least have noticed to have a case, but.
984
00:56:16.489 --> 00:56:18.320
Um, Right.
985
00:56:18.380 --> 00:56:21.800
In actual malice cases, I agree entirely with Luke.
986
00:56:21.860 --> 00:56:24.489
Yes, in actual malice cases.
987
00:56:25.360 --> 00:56:28.929
I've heard people say, well, you knew for sure that
988
00:56:28.949 --> 00:56:30.730
it was saying some false things. Well, it's kind of
989
00:56:30.750 --> 00:56:34.929
like saying you knew that the cars you manufacture would
990
00:56:34.949 --> 00:56:37.349
kill someone. So we're not only going to try to
991
00:56:37.369 --> 00:56:40.269
sue you for negligence, we're going to prosecute you for murder.
992
00:56:40.869 --> 00:56:44.469
because you put out cars that you knew would kill someone. Well, right,
993
00:56:44.510 --> 00:56:47.389
but that kind of statistical knowledge can't be enough. I
994
00:56:47.429 --> 00:56:50.340
think for good policy reasons, and the law generally reflects that,
995
00:56:50.380 --> 00:56:54.159
so I agree entirely with Lewis on that. For negligence-based claims, again,
996
00:56:54.219 --> 00:56:57.860
private figures, or speech on matters of private concern, that
997
00:56:59.840 --> 00:57:02.900
is a different matter, precisely because there could be non-actual
998
00:57:02.940 --> 00:57:03.760
malice liability.
999
00:57:05.699 --> 00:57:09.050
Fabulous. Well, thank you all for that, and now I'm
1000
00:57:09.070 --> 00:57:09.929
going to.
1001
00:57:11.170 --> 00:57:15.639
make sure we'll order our copy of A Fire Upon
1002
00:57:15.679 --> 00:57:18.139
the Deep as well.
1003
00:57:20.440 --> 00:57:26.679
I stand by that recommendation. It is fantastic. Thank you, professors.
1004
00:57:28.250 --> 00:57:28.570
Thank you.
1005
00:57:29.849 --> 00:57:32.289
On behalf of the Federalist Society, I want to thank
1006
00:57:32.369 --> 00:57:34.940
our experts for the benefit of their valuable time and
1007
00:57:35.000 --> 00:57:37.519
expertise today, and I want to thank our audience for
1008
00:57:37.579 --> 00:57:41.860
joining and participating. We also welcome listener feedback by email
1009
00:57:42.019 --> 00:57:44.639
at fedsocforums at fedsoc.org.
1010
00:57:45.440 --> 00:57:47.840
As always, keep an eye on our website.
1011
00:57:47.500 --> 00:57:50.320
And your emails for announcements about upcoming virtual events.
1012
00:57:50.659 --> 00:57:51.929
Thank you all for joining us today.
1013
00:57:52.150 --> 00:57:52.769
We are adjourned.
1014
00:57:53.610 --> 00:57:57.400
Thanks for listening to FedSoc Forums, a Federalist Society podcast.
1015
00:57:57.780 --> 00:58:00.300
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1016
00:58:00.340 --> 00:58:04.550
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