What We Study
Research
Our work spans the technical, strategic, and governance dimensions of AI safety. Active research concentrates in three areas:
Security
Studying the attack surface of advanced AI systems — including model weights, training pipelines, deployment infrastructure, and the information-security posture of frontier labs. Check out our Security Guide.
Strategy & Forecasting
Mapping AI development trajectories, identifying high-leverage interventions, and analyzing how transformative AI will reshape institutions, economies, and global risk.
Policy & Governance
Examining regulatory frameworks, compliance and verification mechanisms, compute governance, and the international coordination challenges posed by frontier AI development.
Publications & Working Papers
Other areas we actively engage with include:
- Agent foundations and decision theory
- Control protocols and runtime monitoring of AI systems
- Mechanistic and concept-level interpretability
- Capability evaluations and benchmarking
- Adversarial robustness and deployment safeguards
- Game-theoretic modeling and threat assessment
- Hardware interventions and compute proliferation dynamics
- Model organisms, red-teaming, and deceptive alignment