Other Writing

Opportunities and Risks of Artificial Intelligence in the Public Sector, Testimony to U.S. Senate Committee on Homeland Security and Governmental Affairs on AI in Government (2023). 

 

Governing Artificial Intelligence: Three Futures, Testimony to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation Hearing on the White House Policy on AI (2023).

 

Securing California’s Future: Artificial Intelligence, Testimony to the California Senate Governmental Organization Committee and the Senate Budget and Fiscal Review Subcommittee No. 4 on State Administration and General Government (2024).

 

Runaway Bureaucracy Could Make Common Uses of AI Worse, Even Mail Delivery, The Hill (2024) (with Nick Bagley).

 

Letter to OMB on Memorandum for Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence (with Mariano-Florentino Cuéllar, Jennifer Pahlka, Amy Perez, Kit Rodolfa, and Gerald Ray).

 

Letter to OMB on Open Innovation re: Memorandum for Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence (with Percy Liang, Timothy O’Reilly, Jennifer Pahlka, Todd Park, DJ Patil, and Kit Rodolfa).

 

Hallucinating Law: Legal Mistakes with Large Language Models are Pervasive, Stanford Institute for Human-Centered Artificial Intelligence (2024) (with Matthew Dahl, Varun Magesh, Mirac Suzgun). 

 

Monitoring Antimicrobial Use in Livestock Production: Learning from California, Research Brief, Stanford Woods Institute for the Environment (2024) (with Sebastian Quaade, Joan Casey, Keeve Nachman, and Sara Tartof).

 

On the Societal Impact of Open Foundation Models, Stanford Institute for Human-Centered Artificial Intelligence (2024) (with Sayash Kapoor, Rishi Bommasani, Percy Liang, and Arvind Narayanan).

 

Considerations for Governing Open Foundation Models, Issue Brief, Stanford Institute for Human-Centered Artificial Intelligence (2023) (with Rishi Bommasani, Sayash Kapoor, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Daniel Zhang, Marietje Schaake, Arvind Narayanan, and Percy Liang).

 

The AI Regulatory Alignment Problem, Policy Brief, Stanford Institute for Human-Centered Artificial Intelligence (2023) (with Neel Guha, Christie M. Lawrence, Lindsey A. Gailmard, Kit T. Rodolfa, Faiz Surani, Rishi Bommasani, Inioluwa Deborah Raji, Mariano-Florentino Cuéllar, Colleen Honigsberg, and Percy Liang). 

 

Decoding the White House AI Executive Order’s Achievements, Stanford Institute for Human-Centered Artificial Intelligence (2023) (with Rishi Bommasani, Christie M. Lawrence, Lindsey A. Gailmard, Caroline Meinhardt, Daniel Zhang, Peter Henderson and Russell Wald).

 

By the Numbers: Tracking The AI Executive Order, Stanford Institute for Human-Centered Artificial Intelligence (2023) (with Caroline Meinhardt, Christie M. Lawrence, Lindsey A. Gailmard, Daniel Zhang, Rishi Bommasani, Rohini Kosoglu, Peter Henderson, Russell Wald).

 

The Privacy-Bias Trade-Off, Policy Brief, Stanford Institute for Human-Centered Artificial Intelligence (2023) (with Arushi Gupta, Victor Y. Wu, Helen Webley-Brown and Jennifer King). 

 

Talent Exchanges for State Governments, Policy Brief, Stanford Institute for Economic Policy Research (2023) (with Anne Joseph O’Connell and Isaac Cui)

 

Gavin Newsom Signed an Executive Order on Artificial Intelligence. What Happens Now?, Sacramento Bee (2023).

 

Constructing Environmental Compliance, Notice and Comment (2023) (with Colleen Honigsberg)

 

Improving the Quality of Mass Justice, Regulatory Review (2022) (with David Marcus and Gerald K. Ray)

 

Do We Really Want Facebook and Amazon to Rule AI?, The Hill (2021) (with Russell Wald and Jen King)

 

Brevity, Speed, and Deference: An Account from the Williams Chambers, Yale Journal on Regulation (2021) (with David Hausman and Anne Joseph O’Connell)

 

Domain Shift and Emerging Questions in Facial Recognition Technology, HAI Policy Brief (2020) (with Emily Black, Maneesh Agrawala, and Li, Fei-Fei)

 

AI’s Promise and Peril for the U.S. Government, HAI Policy Brief (2020) (with David Freeman Engstrom, Catherine M. Sharkey, and Mariano-Florentino Cuéllar )

 

Budgeting Diversity, Boston Review (2020) (with Oluchi Mbonu and Anne McDonough)

 

Prioritizing Public Health Resources for Covid Investigations: How Administrative Data Can Protect Vulnerable Populations, Health Affairs Blog (2020) (with Mark Krass and Peter Henderson)

 

What To Do About Artificially Intelligent Government, The Hill (2020) (with David Freeman Engstrom, Catherine M. Sharkey, and Mariano-Florentino Cuéllar)

 

Innovations for Environmental Compliance: Emerging Evidence and Opportunities, Policy Brief, Stanford Institute for Economic Policy Research (2020) (with Elinor Benami and Anne McDonough)

 

Artificial Intelligence and Food Safety: Hype vs. Reality, Food Safety Magazine (2019) (with Kristen M. Altenburger)

 

Behind the Paper: Deep learning to map concentrated animal feeding operations, Nature Sustainability Community (2019) (with Cassandra Handan-Nader)

 

When the VA Misrepresents Performance, Veterans Suffer, The Hill (2019) (with David Marcus)

 

What Statistics Can’t Tell Us in the Fight over Affirmative Action at Harvard, Boston Review (2019) (with Andrew Gelman and Sharad Goel)

 

Can Silicon Valley save food safety? Maybe, but not with online reviews alone, Food Safety News (2019) (with Kristen M. Altenburger)

 

Buyer Beware: With Disclosure, You Get What You Pay For, Daily Journal (2017) (preprint version)

 

Government Under Review: Could Peer Review for Public Servants Make the Law More Consistent?, Boston Review (2016) (with Becky Elias)

 

Why Grading Restaurants on a Curve is Good for Consumers, Seattle Times (2017)

 

Improve Restaurant Report Cards, New York Times (2012)

 

Designing Information Disclosure, Administrative and Regulatory Law News (2012)