DATDAT-003 — Data Bias and Fairness Oversights
Affected Communities Excluded from AI Model Design Process
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models built without input from affected communities lack contextual grounding and generate outcomes those communities are likely to distrust or reject. Boards risk reputational damage and regulatory scrutiny when deployment proceeds without structured stakeholder engagement.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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