BackIncomplete or biased training data
Incomplete or biased training data
Risk Domain
Unequal treatment of individuals or groups by AI, often based on race, gender, or other sensitive characteristics, resulting in unfair outcomes and unfair representation of those groups.
"Incomplete or biased training data can lead to discriminatory AI outputs."(p. 13)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Other risks from Uuk2025 (60)
Control
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemIntentionalPost-deployment
Democracy
6.0 Socioeconomic & EnvironmentalOtherOtherOther
Discrimination
1.1 Unfair discrimination and misrepresentationOtherOtherPost-deployment
Economy
6.2 Increased inequality and decline in employment qualityOtherOtherPost-deployment
Environment
6.6 Environmental harmAI systemUnintentionalPost-deployment
Governance
6.5 Governance failureAI systemUnintentionalPost-deployment