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AI Risk

Social stereotypes and unfair discrimination

"The reproduction of harmful stereotypes is well-documented in models that represent natural language [32]. Large-scale LMs are trained on text sources, such as digitised books and text on the internet. As a result, the LMs learn demeaning language and stereotypes about groups who are frequently marginalised."

AI Risk1. Discrimination & Toxicity1.1 > Unfair discrimination and misrepresentation3 - Other

Record summary

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Techniques1Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain1. Discrimination & ToxicityThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain1. Discrimination & Toxicity
Subdomain1.1 > Unfair discrimination and misrepresentation
Entity2 - AI
Intent2 - Unintentional
Timing3 - Other
CategoryRisk area 1: Discrimination, Hate speech and Exclusion
SubcategorySocial stereotypes and unfair discrimination

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

Research source for this risk, when available.