Longterm Wiki

AI Safety Cases

Structured arguments with supporting evidence that an AI system is safe for deployment, adapted from high-stakes industries like nuclear and aviation to provide rigorous documentation of safety claims and assumptions. As of 2025, 3 of 4 frontier labs have committed to safety case frameworks.

Related

Related Pages

Top Related Pages

Safety Research

Anthropic Core Views

Risks

Multipolar Trap (AI Development)

Analysis

OpenAI Foundation Governance ParadoxLong-Term Benefit Trust (Anthropic)

Approaches

Dangerous Capability EvaluationsAI EvaluationEval Saturation & The Evals GapAI Governance Coordination Technologies

Other

InterpretabilityDario AmodeiYoshua Bengio

Organizations

UK AI Safety InstituteMETR

Policy

EU AI ActVoluntary AI Safety CommitmentsResponsible Scaling Policies

Concepts

Alignment Evaluation OverviewGovernance-Focused Worldview

Key Debates

AI Safety Solution CruxesCorporate Influence on AI Policy

Tags

safety-casesgovernancedeployment-decisionsauditingresponsible-scaling