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Foreseeing the Unforeseeable: How U.S. Negligence Law Should Address the Foreseeability of Harms Caused by Autonomous AI Agents

Cecil Abungu

Blog Post

Apr 26

April 2026

Mackenzie Arnold Participates in GAO Panel on AI Privacy Risks

Research Article

Mar 26

March 2026

Mapping AI Policy: Where, Why, and How to Intervene

Justin Curl, Alan Rozenshtein

Research Article

Feb 26

February 2026

Superintelligence and Law

How to Count AIs: Individuation and Liability for AI Agents

Yonathan A. Arbel, Simon Goldstein, Peter Salib

Commentary

Feb 26

February 2026

US Tech Force: Why It Faces Major Challenges—and How It Can Succeed Anyway

AI Will Automate Compliance. How Can AI Policy Capitalize?

Cullen O'Keefe, Kevin Frazier

Blog Post

Jan 26

January 2026

Healthy Insurance Markets Will Be Critical for AI Governance

xAI’s Trade Secrets Challenge and the Future of AI Transparency

Julius Hattingh

Report

May 26

May 2026

Proceedings of the 2025 Workshop on Law-Following AI

Cullen O'Keefe, Christoph Winter, Matthijs Maas, Janna Tay

Blog Post

Apr 26

April 2026

Radical Optionality: Governing Transformative AI Under Uncertainty

Blog Post

Apr 26

April 2026

Announcing the Cambridge Commentary on EU General-Purpose AI Law

Research Article

Apr 26

April 2026

Foreseeing the Unforeseeable: How U.S. Negligence Law Should Address the Foreseeability of Harms Caused by Autonomous AI Agents

Mackenzie Arnold Participates in GAO Panel on AI Privacy Risks

Research Article

Mar 26

March 2026

Mapping AI Policy: Where, Why, and How to Intervene

Justin Curl, Alan Rozenshtein

Research Article

Feb 26

February 2026

Superintelligence and Law

How to Count AIs: Individuation and Liability for AI Agents

Yonathan A. Arbel, Simon Goldstein, Peter Salib

Commentary

Feb 26

February 2026

US Tech Force: Why It Faces Major Challenges—and How It Can Succeed Anyway

AI Will Automate Compliance. How Can AI Policy Capitalize?

Cullen O'Keefe, Kevin Frazier

Blog Post

Jan 26

January 2026

Healthy Insurance Markets Will Be Critical for AI Governance

xAI’s Trade Secrets Challenge and the Future of AI Transparency

Julius Hattingh

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Proceedings of the 2025 Workshop on Law-Following AI

Radical Optionality: Governing Transformative AI Under Uncertainty

Announcing the Cambridge Commentary on EU General-Purpose AI Law

Foreseeing the Unforeseeable: How U.S. Negligence Law Should Address the Foreseeability of Harms Caused by Autonomous AI Agents

Mackenzie Arnold Participates in GAO Panel on AI Privacy Risks

Mapping AI Policy: Where, Why, and How to Intervene

Superintelligence and Law

How to Count AIs: Individuation and Liability for AI Agents

US Tech Force: Why It Faces Major Challenges—and How It Can Succeed Anyway

AI Will Automate Compliance. How Can AI Policy Capitalize?

Healthy Insurance Markets Will Be Critical for AI Governance

xAI’s Trade Secrets Challenge and the Future of AI Transparency

Proceedings of the 2025 Workshop on Law-Following AI

Radical Optionality: Governing Transformative AI Under Uncertainty

Announcing the Cambridge Commentary on EU General-Purpose AI Law

Foreseeing the Unforeseeable: How U.S. Negligence Law Should Address the Foreseeability of Harms Caused by Autonomous AI Agents

Mackenzie Arnold Participates in GAO Panel on AI Privacy Risks

Mapping AI Policy: Where, Why, and How to Intervene

Superintelligence and Law

How to Count AIs: Individuation and Liability for AI Agents

US Tech Force: Why It Faces Major Challenges—and How It Can Succeed Anyway

AI Will Automate Compliance. How Can AI Policy Capitalize?

Healthy Insurance Markets Will Be Critical for AI Governance

xAI’s Trade Secrets Challenge and the Future of AI Transparency