GOVGOV-001 — Accountability Framework Gaps
AI Alignment Failures Produce Unpredictable Outcomes in High-Stakes Education Settings
3/5Sector: EducationGeography: GlobalStage: OperateIngested: —
Executive Summary
Programmed intentions in AI agents cannot guarantee positive outcomes, making machine ethics an unreliable safeguard in educational and public sector deployments. Boards face residual liability where safety engineering constraints reduce system utility without eliminating existential or welfare risks to students.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review (Meek2016) ↗https://airisk.mit.edu/
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