MIT AI Risk Repository · Risk Sub-Category · 50.04.03
Discrimination/Bias (Protected Characteristics)
Category: Legal and Rights-Related Risks
Description
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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
Subdomain definition: Unequal treatment of individuals or groups by AI, often based on race, gender, or other sensitive characteristics, resulting in unfair outcomes and representation of those groups.
Real-world incidents in this subdomain
- DOGE Reportedly Relied on Unvetted ChatGPT Outputs in Canceling National Endowment for the Humanities Grants
- Sora Video Generator Has Reportedly Been Creating Biased Human Representations Across Race, Gender, and Disability
- Meta AI Characters Allegedly Exhibited Racism, Fabricated Identities, and Exploited User Trust
- Alleged AI-Generated Photo Alteration Leads to Inappropriate Modifications in Speaker's Conference Picture
- Algorithmic Bias in French Welfare System Allegedly Discriminates Against Marginalized Groups
- Department for Work and Pensions (DWP) AI Systems Allegedly Discriminate Against Single Mothers
How other frameworks describe this risk
Other entries from Zeng2024
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- Security risks (confidentiality)
- Security risks (confidentiality)
- Security risks (integrity)
- Security risks (integrity)
- Security risks (availability)
- Security risks (availability)
- Operational misuses (Automated decision-making)
- Operational misuses (Automated decision-making)
- Operational misuses (Autonomous unsafe operation of systems)
- Operational misuses (Autonomous unsafe operation of systems)
- Operational misuses (Advice in heavily regulated industries)