SECSEC-002 — Data Poisoning Attack Risks
Unchecked AI Autonomy Generates Unintended Systemic Consequences
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Granting AI systems high decision-making autonomy produces outcomes that developers and operators neither anticipated nor controlled. Boards face direct liability exposure where autonomous AI actions breach regulatory obligations or cause material harm.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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