DATDAT-003 — Data Bias and Fairness Oversights
Embodied AI Systems Perpetuate Bias in Physical-World Interactions
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Embodied AI deployed in authoritative roles reproduces discriminatory patterns that directly affect users in physical, real-world settings. Boards face amplified liability exposure and reputational risk where biased decisions manifest as tangible, observable harm rather than abstract outputs.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025) ↗https://airisk.mit.edu/
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