DATDAT-001 — Data Quality and Completeness Issues
Generative AI Systems Embed Culturally Contingent Values, Creating Global Deployment Risk
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI cannot be culturally neutral; definitions of harmful content vary by region, language, and political context, making a universal safety standard unattainable. Organisations deploying models globally face material liability and reputational risk where outputs deemed acceptable in one jurisdiction are unlawful or offensive in another.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023) ↗https://airisk.mit.edu/
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