DATDAT-003 — Data Bias and Fairness Oversights
Algorithmic Systems Withholding Healthcare Resources from Marginalised Groups
4/5Sector: HealthcareGeography: GlobalStage: OperateIngested: —
Executive Summary
AI allocation tools systematically deny healthcare information and resources to historically marginalised populations, compounding existing inequalities in material outcomes. Boards face regulatory exposure and reputational liability where procurement decisions embed discriminatory access patterns into clinical workflows.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023) ↗https://airisk.mit.edu/
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