DATDAT-003 — Data Bias and Fairness Oversights
Chatbot Outputs Drive Biased Decision-Making Through Skewed Recommendations
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI chatbots can produce subtly skewed information that shapes user decisions without triggering standard harm filters. Organisations relying on such tools face reputational and legal exposure from systematically biased outputs that evade routine content moderation.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024) ↗https://airisk.mit.edu/
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