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AI Safety Fundamentals: Governance
Model Evaluation for Extreme Risks
May 13, 2023
The podcast highlights the significance of model evaluation in addressing extreme risks posed by AI systems. It discusses the importance of evaluating dangerous capabilities and assessing the propensity of models to cause harm. The chapters explore different aspects of model evaluation, including alignment evaluations and evaluating agency in AI systems. The podcast also discusses the limitations and hazards of model evaluation, risks related to conducting dangerous capability evaluations and sharing materials, and the importance of effective evaluations in AI safety and governance.
56:18
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- Model evaluation helps identify dangerous capabilities and assess the potential for harm.
- Evaluations inform policymakers and stakeholders, enabling responsible decisions in training, deployment, and security.
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Importance of Model Evaluation for Addressing Extreme Risks
Model evaluation is critical for addressing extreme risks in AI development. It helps identify dangerous capabilities and the potential for harm. Evaluations inform policymakers and stakeholders, ensuring responsible decisions in model training, deployment, and security. This includes assessing dangerous capabilities like offensive cyber operations and manipulation skills, as well as evaluating alignment to prevent misuse. Model evaluations are essential for transparency, enabling incident reporting, sharing pre-deployment risk assessments, and scientific reporting. Appropriate security measures are also emphasized, including intensive monitoring, isolation, and rapid response processes.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode