International Coordination and AI Policy

Model Cards and Documentation for Accountability

AI Standards and Risk Frameworks

AI Governance Frameworks and Principles

Dual-Use and Misuse Risks of AI

Near-Term vs Long-Term AI Risks

Corrigibility and Human Control

Hallucination and Truthfulness in LLMs

Guardrails and Safety Layers

Red Teaming AI Systems

Scalable Oversight and Supervision Limits

Distributional Shift and Robustness Failures

Instrumental Convergence and Goal Misgeneralization

Reinforcement Learning from Human Feedback

Value Alignment and Human Preferences

Specification Gaming and Reward Hacking

Outer vs Inner Alignment

The AI Alignment Problem Defined

What AI Safety Is and Why It Matters

Compute Governance

AI Incident Reporting and Monitoring

Safety-Capability Tradeoffs

Frontier Model Risks and Evaluations

Watermarking and Provenance of AI Content

Open vs Closed Model Release Decisions