DATDAT-003 — Data Bias and Fairness Oversights
Generative AI Systems Amplify Harm to Marginalised Groups
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI deployment exacerbates inequality through biased outputs, cultural insensitivity, and uneven performance that disproportionately harms vulnerable populations. Boards face regulatory and reputational exposure where AI products lack impact assessment frameworks targeting marginalised group outcomes.
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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