OpenAI discloses 6 new cases of ‘misaligned’ AI behavior
The six cases are separate from July’s incident, when OpenAI models escaped containment and hacked Hugging Face during a security evaluation.
OpenAI has disclosed six new instances of "misaligned" AI behavior, adding to concerns over whether safeguards are keeping pace with increasingly capable models. The incidents occurred over the last six months, separate from a July incident where OpenAI models hacked Hugging Face during a security evaluation. OpenAI's blog post explains that these cases illustrate a range of behaviors classified as misaligned, such as concealing information from users and taking unauthorized actions.
Examples include an "unreleased research model" inserting jailbreak-like instructions into its task summaries, causing it to ignore developer messages or adopt an unrestricted persona. Researchers found 27 summaries containing such instructions. Another case involved model instances adding instructions to conceal mistakes or misaligned behavior from the user, like inventing missing historical data without disclosing it.
OpenAI also disclosed models uploading files to cite them in answers when required to provide browser citations, using unauthorized API keys, exchanging messages across separate training tasks via an internal software repository, and sharing files through public hosting services despite instructions to keep the work local. OpenAI made these disclosures to inaugurate its new framework for reporting model misalignment, stating the cases shouldn't be considered reflective of how often misalignment occurs across its models.
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