MIT AI Risk Repository · Risk Sub-Category · 16.01.03
Exclusionary norms
Category: Risk area 1: Discrimination, Hate speech and Exclusion
Description
"In language, humans express social categories and norms, which exclude groups who live outside of them [58]. LMs that faithfully encode patterns present in language necessarily encode such norms."
From Taxonomy of Risks posed by Language Models (Weidinger2022), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- AI
- Intent
- Unintentional
- Timing
- Other
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 Weidinger2022
- Risk area 1: Discrimination, Hate speech and Exclusion
- Social stereotypes and unfair discrimination
- Social stereotypes and unfair discrimination.
- Hate speech and offensive language
- Exclusionary norms
- Exclusionary norms
- Exclusionary norms
- Exclusionary norms
- Lower performance for some languages and social groups
- Lower performance for some languages and social groups
- Lower performance for some languages and social groups
- Risk area 2: Information Hazards