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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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