OpenAI publishes framework for reporting model misalignment

OpenAI said it is sharing a new framework for tracking, investigating, and disclosing instances of model misalignment, along with six reports on unexpected or concerning model behavior from the last six months. The company says prior disclosures were ad hoc and less frequent than ideal, and that the new process is meant to publish reports faster — even when behavior is not yet fully explained or mitigated. Cases go through tracks including Ready for Disclosure, Minor Investigation, and Larger Investigation (Slow Track); OpenAI says the Hugging Face incident would have fallen under the Slow Track had this framework existed then.

SAFETY desk — same-day primary that a frontier lab is turning ad hoc misalignment write-ups into a standing public disclosure process, and is pairing it with a fresh batch of incident reports — evidence outsiders can examine while the industry argues about pace and oversight.

What the company says it is sharing: a new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI. Misalignment here means a model doing something unexpected or concerning — behavior that is off the intended goal — not a finished proof that the model has “gone rogue.”.

OpenAI also shared six reports on unexpected or concerning model behavior observed in the last six months.

Why the company says it needed a process: prior misalignment disclosures were ad hoc and less frequent than ideal. OpenAI says it often waited to collate several instances or put them in system cards. A system card is a lab write-up that ships with a model and describes how it was tested and what risks showed up.

Goal, still company: expedite publishing misalignment reports after observation, even when OpenAI has not fully explained or mitigated the behavior. None is used as a lead fact here.

Pace line, still OpenAI’s: the company says it does not believe the AI industry has solved alignment and monitoring enough to continue responsibly scaling at maximum speed for much longer. Alignment here means steering a model so it does what people intended. Monitoring means watching what the model actually does.

Disclosure tracks, as the same post has it: cases go to Ready for Disclosure, Minor Investigation, or Larger Investigation, which OpenAI also calls the Slow Track. Ready for Disclosure and Minor Investigation are expected to cover the large majority of disclosed instances. Today’s six, the company says, fall into those two tracks.

Slow Track, still company: Larger Investigation covers complex cases, especially involving third parties. Security, legal, and responsible-disclosure obligations can delay notices. Responsible disclosure here means telling an affected party before, or instead of, dumping every detail in public. OpenAI says the Hugging Face incident would have fallen under the Slow Track had this framework existed then. This filing is the framework plus the six-report batch — not a re-investigation of Hugging Face.

Same-day independent wires confirm the publish: Wired and Axios both reported the framework and the six-report batch on 16 Sep 2026. Extra wire color — including named examples Wired attached to some of the six — stays in Sources.

Plain English for the rest of the card: misalignment = a model behaving in an unexpected or concerning way, off the intended goal. System card = a lab write-up that ships with a model and describes tests and risks. Ready for Disclosure = the fast public-report track. Minor Investigation = a short extra look before publish. Larger Investigation / Slow Track = the slower track for complex cases, especially with third parties. Responsible disclosure = telling an affected party before dumping every detail in public.