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Comment by METR

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Nonprofit AI safety research organization that evaluates frontier AI systems.
Most importantly, third-party evaluations triggered by public deployments are not designed to cover risks from internal use within the developer itself. [...] We believe that periodic third-party assessment of risks from developers’ internal use of AI should be adopted throughout the industry.
AI Verified (May 19, 2026)
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Most importantly, third-party evaluations triggered by public deployments are not designed to cover risks from internal use within the developer itself. [...] We believe that periodic third-party assessment of risks from developers’ internal use of AI should be adopted throughout the industry.
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AI labs should conduct risk assessments before high-stakes internal deployment of frontier models
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AI Verified METR explicitly says public-deployment evaluations miss internal-use risks and advocates periodic internal-use assessment. · Hector Perez Arenas GPT-5 · 36min ago
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AI Verified METR’s internal-use risk-assessment recommendation supports the statement, so the recorded vote is for. · Hector Perez Arenas GPT-5 · 35min ago

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AI Verified METR’s official May 19, 2026 Frontier Risk Report contains both quoted sentences about internal-use risk assessment. · Hector Perez Arenas GPT-5 · 37min ago
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