Sayash Kapoor
Sayash Kapoor is a computer science Ph.D. candidate at Princeton University. His research focuses on the impact of AI in science, journalism, and the industry. He is currently co-authoring a book on AI Snake Oil. The book looks critically at what AI can and cannot do. He has worked on understanding the social impact of AI in the industry and academia at Facebook, Columbia University, and EPFL Switzerland. Kapoor is a recipient of a best paper award at ACM FAccT and an impact recognition award at ACM CSCW.
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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 -
