Research

Advancing a Global Framework for AI Safety and Governance for the Well-being of Humanity

Toward Risk Thresholds for AI-Enabled Cyber Threats

Open Problems in Frontier AI Risk Management

Defense Against the AI Dark Arts: Threat Assessment and Coalition Defense

Toward Risk Thresholds for AI-Enabled Cyber Threats

The Mechanisms of AI Harm: Lessons Learned from AI Incidents

Reconciling AI with the Data Minimization Principle: Bridging the Innovation and Privacy Gap

Architectures of Global AI Governance: From Technological Change to Human Choice

AI Governance at the Frontier: Unpacking Foundational Assumptions

Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents

Safety Frameworks and Standards: A comparative analysis to advance risk management of frontier AI

Preparing for AI Agent Governance (Partnership on AI, 2025)

Policy Options for Preserving Chain of Thought Monitorability

Mapping the AI Governance Landscape: Pilot test and update (Oct 2025)

A Comprehensive Taxonomy of Hallucinations in Large Language Models (Universitat de Barcelona, August 2025)

Emotional Manipulation by AI Companions

LEVELS OF AUTONOMY FOR AI AGENTS

Managing Risks from Internal AI Systems

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms

What Even Superintelligent Computers Can’t Do

Privacy and Data Protection Risks in Large Language Models (LLMs)

Three Lines of Defense Against Risks from AI

Reimagining Data Governance for AI: Operationalizing a Social License for Data Reuse

Agent Name Service (ANS) for Secure Al Agent Discovery