ÜBER DIESE EPISODE
Speakers: Professors Yafit Lev-Aretz and Nizan Geslevich Packin
Description: Meet your hosts! We explain why a CUNY-centered podcast on digital ethics is needed and describe the questions that will guide the series.
About the speakers: Yafit Lev-Aretz and Nizan Geslevich Packin are Professors of Law at Baruch College's Zicklin School of Business. Their work spans artificial intelligence, financial technology, privacy, consumer and investor protection, digital governance, and technology policy.
Show notes:
Englisch
Vereinigte Staaten
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VERGANGENE FOLGEN SUCHEN
Vorhandene Folgen von C.O.D.E. (CUNY on Digital Ethics) durchsuchen.
WEITERE EPISODEN IN DIESEM PODCAST
Speaker: Sean Stein Smith, Associate Professor of Accounting at Lehman College
Description: Sean Stein Smith brings the accountant's perspective to digital ethics. The episode examines blockchain, cryptoassets, decentralized finance, AI-assisted auditing, and the profession's public-interest role a…
Speaker: Gaia Bernstein, Professor of Law at Seton Hall University and Visiting Fellow at the Brookings Institution
Description: Recorded live before a CUNY audience as the Season 1 finale, this episode asks whether Big Tech is running Big Tobacco’s playbook. Gaia Bernstein discusses the California…
Speaker: Hannah Bloch-Wehba, Professor of Law at Texas A&M University School of Law
Description: Hannah Bloch-Wehba examines how Flock Safety's license-plate readers have grown into a nationwide surveillance network assembled through local contracts and public-private data sharing. The conversa…
Speaker: Jonathan Iwry, Fellow at the Wharton Accountable AI Lab
Description: Jonathan Iwry explores what happens whenresponsibility for AI harms is divided among developers, deployers, data providers, users, and regulators. The episode considers causation, strict liability for advanced AI, institu…
Speaker: Shirley Bluvstein, Assistant Professor of Marketing at Baruch College
Description: Shirley Bluvstein discusses experimental research showing that a chatbot can appear more human and more helpful when it makes and corrects a small mistake. The episode connects perceived humanness to trust, …
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Baruch College, City University of New York (CUNY), das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
BEARBEITEN
Vielen Dank, dass Sie uns helfen, die Podcast-Datenbank auf dem neuesten Stand zu halten.
