DATDAT-003 — Data Bias and Fairness Oversights
Biased Training Data Propagates Discrimination Through UN AI Systems
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI systems trained on historically biased data will reproduce and scale those biases in outputs and decisions. Organisations deploying AI without rigorous data audits face reputational, legal, and ethical failures at institutional scale.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021) ↗https://airisk.mit.edu/
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