GOVGOV-001 — Accountability Framework Gaps
AI Systems Causing Human Harm Through Unsafe Agent Actions
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Learning models can harm humans both directly and indirectly, and existing safety frameworks derived from Asimov's laws remain insufficient to constrain autonomous agent behaviour reliably. Governments face material liability and public trust risk if deployed AI systems lack robust, legally grounded safety assurance mechanisms.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
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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