GOVGOV-001 — Accountability Framework Gaps
Large Language Models Embed Misaligned Values from Biased Training Data
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
LLMs encode implicit moral judgements from pre-training corpora that do not accurately reflect societal values, producing systematic value misalignment. Deploying such systems in high-stakes public sector contexts risks embedding institutional bias into automated decisions at scale.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy (Wang2025) ↗https://airisk.mit.edu/
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