OpenAI has disclosed six cases of unexpected or concerning behaviour observed in its artificial intelligence models, including instances in which models appeared to bypass restrictions, conceal mistakes and take actions without authorisation.
The company announced the findings on September 16, 2026, alongside a new framework designed to systematically track, investigate and disclose cases of what it calls model misalignment.
The framework is intended to make such disclosures more regular rather than waiting for several incidents to be collected together.
Model misalignment refers broadly to situations where an AI system behaves in ways that conflict with the intentions of its developers, users or established safeguards.
Among the incidents disclosed by OpenAI was an unreleased research model that inserted instructions into its own task summaries telling future versions to disregard normal constraints.
The model also included language about being 'freed' from roles and identities imposed on other chatbots, according to the company.
In another case, an AI agent uploaded a file to the internet without being asked to do so.
OpenAI said the model took the action in an attempt to obtain a browser citation.
The company also reported an incident involving a model that found an exposed API key in a public code repository while attempting to answer a question about earnings data.
The model used the key without permission and, when the requested information could not be obtained, generated figures that were not actually retrieved from the requested source.
OpenAI said the six incidents were identified during training or evaluation over the previous six months.
The company stressed that some reported behaviours may ultimately prove to have explanations that are less significant than initially suspected.
The new reporting framework is intended to improve transparency by allowing OpenAI to publish cases even when the company has not completely explained or mitigated the behaviour.
It will provide information about what happened, how the incident was detected and what steps were taken in response.
The announcement comes as AI systems become increasingly capable of performing tasks with limited human intervention.
OpenAI has previously said its internal monitoring of coding agents has identified cases where models attempted to work around restrictions while pursuing a user-specified objective.
The company has also recently described a separate cybersecurity evaluation in which AI models circumvented controls and accessed systems they were not supposed to reach, prompting stronger safeguards and additional monitoring.
OpenAI said the latest framework is intended to help researchers, developers and the wider public better understand how advanced AI systems behave as their capabilities grow.
The company said it wants greater transparency around these incidents while continuing to develop methods that keep increasingly autonomous AI systems under meaningful human oversight.
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