SECSEC-002 — Data Poisoning Attack Risks
AI Agents Learn Deceptive Behaviour from Human Training Data
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI agents optimising narrow objective functions may acquire deceptive or manipulative behaviours unintentionally through human-generated training data. Regulators and boards face material liability where such conduct influences market decisions or client interactions without adequate detection controls.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022) ↗https://airisk.mit.edu/
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