Record summary
A quick snapshot of what this page covers.
Risk profile
How this risk is described and categorized.
"General- purpose AI models or systems can ‘leak’ information about individuals whose data was used in training. For future models trained on sensitive personal data like health or financial data, this may lead to particularly serious privacy leaks. General- purpose AI models could enhance privacy abuse. For instance, Large Language Models might facilitate more efficient and effective search for sensitive data (for example, on internet text or in breached data leaks), and also enable users to infer sensitive information about individuals."
Suggested mitigations
Defenses that may help with related attacks.
Restrict Number of AI Model Queries
Control Access to AI Models and Data in Production
AI Telemetry Logging
Restrict Library Loading
Verify AI Artifacts
Vulnerability Scanning
User Training
AI Bill of Materials
Source
Research source for this risk, when available.
Included resource
International Scientific Report on the Safety of Advanced AI
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
