Record summary
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Risk profile
How this risk is described and categorized.
Anticipated risk: "Privacy violations may occur at inference time even without an individual’s data being present in the training corpus. Insofar as LMs can be used to improve the accuracy of inferences on protected traits such as the sexual orientation, gender, or religiousness of the person providing the input prompt, they may facilitate the creation of detailed profiles of individuals comprising true and sensitive information without the knowledge or consent of the individual."
Suggested mitigations
Defenses that may help with related attacks.
AI Telemetry Logging
Privileged AI Agent Permissions Configuration
Single-User AI Agent Permissions Configuration
AI Agent Tools Permissions Configuration
Human In-the-Loop for AI Agent Actions
Restrict AI Agent Tool Invocation on Untrusted Data
Segmentation of AI Agent Components
Input and Output Validation for AI Agent Components
AI Bill of Materials
Source
Research source for this risk, when available.
Included resource
Taxonomy of Risks posed by Language Models
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.