AIBlindspot
← All case studies
DATDAT-003 — Data Bias and Fairness OversightsNew

General-Purpose AI Systems Amplify Systemic Discrimination at Scale

3/5Sector: OtherGeography: GlobalStage: OperateIngested:

Executive Summary

Registered access

This case is from the last 90 days.

Recent classified cases are reserved for registered users. Sign up free to read full executive summaries, see live Risk Index scoring, and run one Test Your Use Case scorecard a day.

Domain

Data Management

Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.

Source

MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

https://airisk.mit.edu/

Could this happen in your organisation?

A Velinor AI Audit maps your active AI portfolio against the 48 blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.