Sayash Kapoor
Sayash Kapoor is a Laurance S. Rockefeller Graduate Prize Fellow in the University Center for Human Values and a computer science Ph.D. candidate at Princeton University's Center for Information Technology Policy. His research examines the societal impacts of AI. He is a coauthor of AI Snake Oil, a book that provides a critical analysis of artificial intelligence, separating the hype from the true advances. He has written for outlets like WIRED and The Wall Street Journal, and his work has been featured in The New York Times, The Atlantic, Washington Post, Bloomberg, and many others. Kapoor has been recognized with various awards, including a best paper award at ACM FAccT, an impact recognition award at ACM CSCW, and inclusion in TIME’s inaugural list of the 100 most influential people in AI.
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Deep Dive : Toward a Better Internet
We Looked at 78 Election Deepfakes. Political Misinformation Is Not an AI Problem.
Technology isn’t the problem—or the solution.
By Sayash Kapoor & Arvind Narayanan -
Deep Dive : Toward a Better Internet
A Safe Harbor for AI Evaluation and Red Teaming
An argument for legal and technical safe harbors for AI safety and trustworthiness research
By Shayne Longpre , Sayash Kapoor , Kevin Klyman , Ashwin Ramaswami , Rishi Bommasani , Arvind Narayanan , Percy Liang & Peter Henderson -
Deep Dive : Algorithmic Amplification and Society
Generative AI companies must publish transparency reports
The debate about AI harms is happening in a data vacuum.
By Arvind Narayanan & Sayash Kapoor -
Essays and Scholarship
How to Prepare for the Deluge of Generative AI on Social Media
A grounded analysis of the challenges and opportunities
By Sayash Kapoor & Arvind Narayanan -