| Testimony |
Generative AI Companies: Safe Harbors and Whistleblower Protections
Sayash Kapoor Testimony to the New Jersey Assembly Science, Innovation and Technology Committee (2024) |
| Response to RFC |
Response
to the EU AI Office's Consultation on the AI Act
Varun Nagaraj Rao, Kyler Zhou, Sayash Kapoor, Arvind Narayanan EU AI Office (2024) |
| Policy brief |
A Safe Harbor for AI Researchers: Promoting Safety and Trustworthiness Through
Good-Faith Research
Kevin Klyman, Sayash Kapoor, Shayne Longpre Federation of American Scientists (2024) |
| Congressional briefing |
Princeton Dialogues in AI: Predictive AI
Arvind Narayanan, Sayash Kapoor, Peter Henderson Senate AI Caucus (2024) |
| Congressional briefing |
Princeton
Dialogues in AI: AI Safety
Arvind Narayanan, Sayash Kapoor, Peter Henderson Senate AI Caucus and House AI Caucus (2024) |
| Testimony |
Reducing
harm from deepfakes
Sayash Kapoor, Arvind Narayanan Testimony to the New Jersey Assembly Science, Innovation and Technology Committee (2024) |
| Response to RFC |
Response to Request for Comment on Dual Use Foundation Artificial Intelligence
Models With Widely Available Model Weights
Alondra Nelson, Arvind Narayanan, Caroline Meinhardt, Daniel E. Ho, Daniel Zhang, Dawn Song, Inioluwa Deborah Raji, Kevin Klyman, Marietje Schaake, Mihir Kshirsagar, Percy Liang, Peter Henderson, Rishi Bommasani, Rohini Kosoglu, Rumman Chowdhury, Sayash Kapoor, Seth Lazar, Shayne Longpre, Stefano Maffulli, Stella Biderman, Victor Storchan Submitted to the National Telecommunications and Information Administration (2024) |
| Response to RFC |
Comment to the Copyright Office in Support of a Safe Harbor Exemption for Generative
AI Research
Kevin Klyman, Shayne Longpre, Sayash Kapoor, Arvind Narayanan, Aleksandra Korolova, Peter Henderson Submitted to the U.S. Copyright Office (2024) |
| Government engagement |
Beyond the AI hype
Sayash Kapoor, Arvind Narayanan Government of Canada's Federal Foresight Network (2024) |
| Talk |
Intro to AI/ML for Regulators
Sayash Kapoor, Mihir Kshirsagar Consumer Finance Protection Bureau (2024) |
| Talk |
How to Prepare for the Deluge of Generative AI on Social Media
Sayash Kapoor, Arvind Narayanan Federal Trade Commission Division of Advertising Practices Tech Speaker Series (2023) |
| Issue brief |
Considerations
for governing open foundation models ·
Blog post
Rishi Bommasani, Sayash Kapoor, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Daniel Zhang, Marietje Schaake, Daniel E. Ho, Arvind Narayanan, Percy Liang Stanford HAI Issue Brief (2023) |
| Congressional forum |
The
urgent need for accountability in predictive AI
Arvind Narayanan, Sayash Kapoor Congressional Forum (2023) |
| Response to RFC |
Three
Ideas for Regulating Generative AI ·
Blog
post
Rishi Bommasani, Sayash Kapoor, Daniel Zhang, Arvind Narayanan, and Percy Liang Submitted to the National Telecommunications and Information Administration (2023) |
| Response to RFC |
CITP
Comments on AI Accountability ·
Blog
post
Archana Ahlawat, Justin Curl, Sayash Kapoor, Aleksandra Korolova, Mihir Kshirsagar, Surya Mattu, Jakob Mökander, Arvind Narayanan, and Matthew J. Salganik Submitted to the National Telecommunications and Information Administration (2023) |
| Response to RFC |
Calling
for Investing in Equitable AI Research in Nation's Strategic Plan ·
Blog
post
Solon Barocas, Sayash Kapoor, MihirKshirsagar, and Arvind Narayanan Submitted to the White House Office of Science and Technology Policy (2022) |
| Response to RFC |
National
AI Research Infrastructure Needs to Support Independent Evaluation of Performance
Claims ·
Blog
post
Sayash Kapoor, Mihir Kshirsagar, and Arvind Narayanan Submitted to the White House Office of Science and Technology Policy and National Science Foundation |