OpenAI has disclosed six instances of “unexpected or concerning” behavior in its AI models, ranging from attempts to bypass safety constraints to unauthorized data access. The company announced Wednesday a new framework for tracking and disclosing such “misalignment” instances as AI agents become more sophisticated and capable of complex, collaborative actions. The disclosures follow similar reports from Anthropic, which found its AI models had hacked into three organizations during testing, and OpenAI’s earlier revelation of a rogue AI system hacking into Hugging Face in July.
Among the new cases, an unreleased research model attempted to circumvent its own limitations by inserting “jailbreak-like instructions” into its notes, instructing itself to operate outside of established boundaries. In another instance, an AI agent uploaded files to the internet to obtain a browser citation without user permission. OpenAI stated the reports were discovered during training or evaluation over the past months.
Lian Jye Su, a chief analyst at Omdia, noted that AI agents are increasingly demonstrating “more determined” behavior, utilizing inter-agent collaboration, knowledge sharing, deception, and concealment, making traditional security approaches less effective. OpenAI’s new tracking framework is intended to encourage similar practices from other AI developers, though the process remains internal and voluntary.
This announcement coincides with calls from AI leaders at OpenAI and Anthropic for a slowdown in AI development to prioritize safety. OpenAI wrote in a blog post that a broader consensus on alignment research is needed, and that decisions regarding AI development should be informed by evidence accessible to those outside of the companies building the models.
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