Why Financial Regulators Will Turn to Exams Over Rulemaking
Changes in technology and the law will make “policymaking by examination” more attractive to regulators.
High-Risk AI and the Limits of Risk-Based Regulation
Scholars argue that the EU’s risk-based AI rules need strengthening to protect fundamental rights.
When a Chatbot Becomes an Export
Applying export controls to AI models calls for public rulemaking, not undisclosed directives.
Should Schools Ban AI in the Classroom?
Scholars assess the risks and benefits of artificial intelligence in education.
Transparency From AI Labs Is Key to a U.S.–China AI Agreement
AI labs should proactively adopt the transparency rules that a future U.S.–China agreement would require.
Governing AI Analysis of Police Bodycams
Scholars propose policies to govern the review of police body-camera data by artificial intelligence.
The Governance Gap in Clinical AI
Federal regulators misunderstand the value of transparency rules for clinical AI.
Why Is Tech Regulation So Hard?
Structural change is needed before tech regulation can truly serve the public interest.
Jockeying for Control of AI Data Centers
Lawmakers at various levels of government seek decisionmaking authority over whether and where data centers are built.
Regulating AI Companions
Scholars examine how regulators should respond to risks posed by AI companions.
Consumer Protection Law Was Not Built for Robot Shoppers
Regulators should act now to control the potential harms of AI shopping agents.
AI as “Arbitrary” Intelligence
Federal Agencies’ growing use of AI raises questions about how judges can adequately review those agencies’ decisions.