USGuidelineIn forceModel providers

Framework for Tracking, Investigating, and Disclosing Instances of Model Misalignment

模型对齐偏差调查框架及报告
OpenAI·Published 2026-09-16·Checked by 管理员 on 2026-09-18

OpenAI is sharing its new framework for tracking, investigating, and disclosing instances of model misalignment. The framework sets criteria and timelines for public disclosure, including when we haven’t yet fully explained or mitigated the behavior. More complex cases may require longer investigation or coordination with third parties. We’ll prioritize examples that reveal new misalignment mechanisms, meaningful changes in known behavior, or findings that challenge assumptions about safety or mitigation. Alongside the framework, we’re publishing six reports on instances of misaligned behavior we’ve observed during the training or evaluation of our models in the last six months. This is a starting point. We’ll refine the process through experience and public feedback, and share more reports on an ongoing basis.

What it means for you

• Obligations: AI companies must follow OpenAI's framework for disclosing model misalignment issues to the public, especially for significant or safety-related findings.
• Opportunities: Companies can learn from OpenAI's public reports and framework to improve their own model alignment and safety practices.
• Deadlines: There are defined timelines for OpenAI to investigate and disclose findings, providing a clearer expectation for stakeholders.

What to do

ComplianceFollow OpenAI's framework for internal investigation and public disclosure of model misalignment findings, adhering to the defined timelines and standards.
ProductStudy the six reports published by OpenAI to gain insights into model misalignment cases and experiences, and use them to optimize the safety and alignment mechanisms of their own products.
EngineeringPay attention to the prioritized findings in OpenAI's framework, such as new misalignment mechanisms, significant changes in known behavior, or those that challenge safety assumptions, and prepare corresponding responses in advance.

Key dates

2026-09-16Published

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