GOVGOV-006 — Audit and Assurance Gaps
Absence of Accountability Frameworks in AI Decision-Making
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems making consequential decisions without clear procedural or substantive standards create governance vacuums where responsibility cannot be assigned. Boards face direct liability exposure when no accountable party can be identified following a harmful or non-compliant AI output.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022) ↗https://airisk.mit.edu/
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