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AI Risk

Incomplete or biased training data

"Incomplete or biased training data can lead to discriminatory AI outputs."

AI Risk1. Discrimination & Toxicity1.1 > Unfair discrimination and misrepresentation2 - Post-deployment

Record summary

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Techniques0Attack 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
Entity3 - Other
Intent2 - Unintentional
Timing2 - Post-deployment
CategorySources of systemic risks from general-purpose AI
SubcategoryIncomplete or biased training data

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.