DATDAT-003 — Data Bias and Fairness Oversights
Generative AI Erases and Misappropriates Cultural Identity
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI systems are erasing culturally distinct forms of expression, including language patterns, humour, and voice, while enabling their misappropriation across cultural boundaries. Organisations deploying these tools face reputational, legal, and ethical liability if cultural harm is not assessed at the point of model selection and deployment.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025) ↗https://airisk.mit.edu/
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