# Mehran Sahami
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mehran sahami is a professor and the Associate Chair for Education in the Computer Science department at Stanford University. He is also the Robert and Ruth Halperin University Fellow in Undergraduate Education at Stanford.
Sahami earned his BS and PhD from Stanford University under the supervision of Daphne Koller.
Harnessing A.I. in Education with Sal Khan
When Sal Khan created Khan Academy, he was trying to scale up the successful experiences he’d had tutoring his cousins one-on-one in math. He saw how effective it could be for students to go at their own pace, ask questions and be questioned about their reasoning, and he wanted to make those benefi…
Big Tech VS Democracy (w/ Rob Reich, Mehran Sahami, & Jeremy Weinstein)
We bring in the fall with a big conversation about big tech, with the authors of System Error: Stanford professors Rob Reich (expertise in: political science, philosophy, ethics, democracy, digital technology), Mehran Sahami (software engineering, in particular machine learning and AI, and VC fundi…
Better Bayesian Filtering - Advancements in Bayesian Filtering Techniques and Future Projections
"This article written by Paul Graham in 2003 discusses his work on spam filtering and his future plans. Graham points out that spam filtering is a subset of text classification and that the initial work in this field is quite old. Graham's own spam filter has been able to catch 99.5% of spam with a…
On Chances, feat. Prof. Mehran Sahami | Traces, Appendix 14
A conversation with Prof. Mehran Sahami about probability, chances, belief, spam, education, and more.Find me at cristian@ccb.lifeAbout the Guest:Mehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Prof…
42. Confronting Ethical Challenges in a High Tech World
Machine Learning has tremendous potential to help us better understand a variety of domains and build tools for automated decision-making. Such tools carry the promise of more accurate predictions and higher efficiency than might be achievable without them.
However, machine learning also has the …
ENCORE: System Error — Part 1
In this two-episode conversation, Stanford Professors Mehran Sahami and Jeremy Weinstein join Ron Steslow to discuss their book System Error: Where Big Tech Went Wrong and How We Can Reboot.
(05:42) Why they decided to write their book
(10:56) How venture capital has shaped Silicon Valley
(1…
ENCORE: System Error — Part 2
In the second part of this two-episode conversation, Stanford Professors Mehran Sahami and Jeremy Weinstein join Ron Steslow to discuss their book System Error: Where Big Tech Went Wrong and How We Can Reboot.
(07:11) The modern day trolley problem
(16:54) Reorienting invention toward problem …
Al Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix)
Chip Huyen is a core developer on Nvidia’s Nemo platform, a former AI researcher at Netflix, and taught machine learning at Stanford. She’s a two-time founder and the author of two widely read books on AI, including AI Engineering, which has been the most-read book on the O’Reilly platform since it…
65: Design—Stuck in the Middle with AI (ft. Christina Wodtke)
Show Notes
Stanford professor Christina Wodtke joins Peter and Jesse in exploring the real contradictions of AI in design and product work: revolutionary prototyping speed versus the need for critical thinking, efficiency gains versus cognitive loss, and loving the technology while hating …
65: Design—Stuck in the Middle with AI (ft. Christina Wodtke)
Show Notes
Stanford professor Christina Wodtke joins Peter and Jesse in exploring the real contradictions of AI in design and product work: revolutionary prototyping speed versus the need for critical thinking, efficiency gains versus cognitive loss, and loving the technology while hating …
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