DATDAT-001 — Data Quality and Completeness Issues
LLMs trained on internet data risk breaching contextual social norms at deployment
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models trained on internet text may encode information-sharing behaviours that violate the social norms of specific deployment contexts. Without governance infrastructure to track and enforce contextual norms, organisations face reputational, legal, and trust failures when models act in socially misaligned ways.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024) ↗https://airisk.mit.edu/
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