The Princeton AI Dialogues
About
The Princeton AI Dialogues is a series of events and activities designed to help public policy makers confront critical questions around the development, adoption, and governance of AI. This series draws on world class research from Princeton experts across disciplines: computer science, public policy, law, data science, health, economics, and more. Recent activities have included:
- AI Policy Precepts
- Congressional Briefings
- Public Events
- Engagement with federal Chief AI Officers
AI Policy Precepts
The Princeton AI Policy Precepts offer intimate roundtables and case study discussions featuring Princeton experts and federal AI stakeholders. Across four rounds, participants have joined from dozens of federal agencies and prominent House and Senate offices: Commerce, Defense, Justice, Homeland Security, the White House, the intelligence community, Congressional AI leadership, and numerous additional offices.
Congressional Briefings
In April 2026, researchers and practitioners from Princeton CITP, the New Jersey AI Hub, and Georgetown University will brief U.S. House and Senate staffers on AI's labor market and workforce impacts. Leading the briefings are experts in computer science, workforce development, and labor economics: Arvind Narayanan (Director, Princeton CITP), Liat Krawczyk (Executive Director, New Jersey AI Hub), and Harry Holzer (Former Chief Economist, U.S. Department of Labor).
In December 2025, the Princeton AI Dialogues hosted U.S. House and Senate briefings focused on "AI Companions: Emerging Risks to Mental Health & Online Safety." These public briefings featured insights from Arvind Narayanan (Director, Center for Information Technology Policy), Mihir Kshirsagar (Lead, CITP Tech Policy Clinic), and Rose Guingrich (Researcher, Psychology & Ethics of Human-AI Interaction). The experts discussed kids' online safety, state and federal regulations, and technical safeguards.
Public Events
Princeton University Professor Arvind Narayanan and Princeton Computer Science Ph.D. candidate Sayash Kapoor joined former BBC World Service Newshour presenter Razia Iqbal to discuss their new book, AI Snake Oil. As part of Princeton's Books & Cocktails series and the Princeton AI Dialogues, the two leading AI experts discussed the history of AI and its most common current uses. They spoke about where AI technologies excel, where they struggle, and how the public should make sense of AI capabilities amid rapidly growing media and policy attention.
Chief AI Officer Engagement
In late 2023, President Biden signed Executive Order 14110 on the "Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence." That order included a mandate for federal agencies to appoint a "Chief Artificial Intelligence Officer" to oversee the use of AI, promote innovation, and manage risks. A subsequent order by the Trump Administration adjusted these mandates, identifying the officers as "Change agents and AI advocates."
Princeton faculty have invited several Chief AI Officers to working dinners to brainstorm, develop research ideas, and offer support in implementing new federal AI mandates.
Resources, Research & Media
Arvind Narayanan & Sayash Kapoor
AI as Normal Technology Newsletter
Book: AI Snake Oil
Essay: AI as Normal Technology
Peter Henderson
The Mirage of Artificial Intelligence Terms of Use Restrictions
AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County
Jonathan Mayer
Content Moderation for End-to-End Encryption
Public Verification for Private Hash Matching
Mihir Kshirsagar
Maximizing NextG Benefits: A Policy Framework to Advance Spectrum Allocation, Infrastructure Investment, and Wireless Leadership
A Blueprint for Auditing Generative AI
Matt Salganik
Bridging Prediction and Intervention Problems in Social Systems
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
New York Times: Hardfork Podcast: Is AI Normal Technology? (Arvind Narayanan)
Bloomberg Law: AI-Training Digital Copyright Ruling Paves Way for More Lawsuits (Peter Henderson)
Wall Street Journal: If AI Is The Next Big Thing, Why Can't It Solve World Hunger and Stop Wars? (Sayash Kapoor)
The Atlantic: Shh, ChatGPT. That's a Secret. (Peter Henderson)
Nature: Why an overreliance on AI-driven modelling is bad for science (Arvind Narayanan and Sayash Kapoor)