AI Evaluation
evaluationapproachPath: /knowledge-base/responses/evaluation/
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"llmSummary": "Comprehensive overview of AI evaluation methods spanning dangerous capability assessment, safety properties, and deception detection, with categorized frameworks from industry (Anthropic Constitutional AI, OpenAI Model Spec) and government institutes (UK/US AISI). Identifies critical gaps in evaluation gaming, novel capability coverage, and scalability constraints while noting maturity varies from prototype (bioweapons) to production (Constitutional AI).",
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}Backlinks (14)
| id | title | type | relationship |
|---|---|---|---|
| agi-development | AGI Development | concept | — |
| intervention-effectiveness-matrix | Intervention Effectiveness Matrix | analysis | — |
| planning-for-frontier-lab-scaling | Planning for Frontier Lab Scaling | analysis | — |
| racing-dynamics-impact | Racing Dynamics Impact Model | analysis | — |
| risk-activation-timeline | Risk Activation Timeline Model | analysis | — |
| nist-ai | NIST and AI Safety | organization | — |
| uk-aisi | UK AI Safety Institute | organization | — |
| holden-karnofsky | Holden Karnofsky | person | — |
| paul-christiano | Paul Christiano | person | — |
| constitutional-ai | Constitutional AI | approach | — |
| corporate | Corporate AI Safety Responses | approach | — |
| evals-governance | Evals-Based Deployment Gates | policy | — |
| international-summits | International AI Safety Summits | policy | — |
| red-teaming | Red Teaming | approach | — |