Unauthorized inference refers to the act of gaining access to sensitive information by exploiting an AI system’s responses or behavior, without direct access to the underlying data. It takes advantage of the possibility that public information may reveal hints about concealed data or system behaviors.

‍Why it matters: Preventing unauthorized inference protects sensitive information from being indirectly exposed through model outputs.