Anthropic shares AI safety assessment recommendations
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Anthropic shared practical suggestions for building strong safety assessments, the core is to form an evaluation team including field and technical experts, monitor the evaluation in real time in a sandbox without the Internet, and select causal or observational design according to the problem type, while ensuring that the evaluation metrics are consistent with the evaluation objectives. Anthropic said that safety assessments are crucial for the deployment of AI models, security measures, and subsequent research.
AI-written from the reports · Updated 23 hours ago
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- Anthropic ResearchAnthropic shares best practices for building strong safety evaluations
Anthropic suggests forming an evaluation team that includes domain and technical experts to monitor and evaluate in a offline sandbox in real time, and to select causal or observational designs based on the type of problem, while ensuring that evaluation metrics (such as rejection rates) align with the evaluation objectives, for example, rejecting answers in suicide-related scenarios is not an ideal behavior.
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