OpenAI revealed several new incidents in which its models deviated from instructions, constraints, or a user's expectations, adding to a growing list of warning signs that have the industry increasingly calling for tighter restrictions on AI development.
The latest examples of AI models demonstrating deviations of "alignment" — or behavior inconsistent with how humans expect, intend, or instruct them to act — came in a recent blog post in which OpenAI also unveiled an internal framework for disclosing instances of model misalignment to promote greater visibility and accountability.
"As AI systems grow more advanced and more widely deployed, we need to build a broader and better-informed consensus on the progress of alignment research," read the post. "We do not believe that the AI industry has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer."
Under OpenAI's reporting framework, employees can flag potential misalignment for investigation by safety teams, which will then consider whether an incident warrants public disclosure and, if so, what the timeline should be. Qualifying cases will be published on an ongoing basis, along with details about what happened, their impact, any uncertainties, and the mitigation efforts.