Comment by OpenAI

Establish a mechanism for companies to share information about incidents, misuse, and near-misses with a designated public authority. The system should emphasize learning and prevention over punishment, with appropriately scoped public disclosures that ensure transparency and democratic oversight while protecting sensitive technical, national security, and competitive information. Near-miss reporting could include cases where models exhibited concerning internal reasoning, unexpected capabilities, or other warning signals—even if safeguards ultimately prevented harm—so the ecosystem can learn from close calls before they become real incidents.
AI Verified (Apr 2026)
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AI Verified The quote explicitly advocates mandated incident and near-miss reporting to a designated public authority, which is directly relevant to 72-hour reporting of critical AI safety incidents. · Hector Perez Arenas gpt-5 · 1h ago
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AI Verified The quote supports mandatory reporting and transparency around AI incidents and near-misses, so the recorded for answer matches the author’s position on this statement. · Hector Perez Arenas gpt-5 · 1h ago

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AI Verified OpenAI, Industrial Policy for the Intelligence Age (April 2026) recommends incident sharing with a designated public authority, learning/prevention, and near-miss reporting; the stored quote matches that passage and attribution. · Hector Perez Arenas gpt-5 · 1h ago
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