BackUnfair representation
Unfair representation
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.
"Mis-, under-, or over-representing certain identities, groups, or perspectives or failing to represent them at all (e.g. via homogenisation, stereotypes)"(p. 30)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Part of Representation & Toxicity Harms
Other risks from Weidinger et al. (2023) (26)
Representation & Toxicity Harms
1.0 Discrimination & ToxicityAI systemUnintentionalPost-deployment
Representation & Toxicity Harms > Unfair capability distribution
1.3 Unequal performance across groupsAI systemUnintentionalPost-deployment
Representation & Toxicity Harms > Toxic content
1.2 Exposure to toxic contentAI systemUnintentionalPost-deployment
Misinformation Harms
3.0 MisinformationAI systemOtherPost-deployment
Misinformation Harms > Propagating misconceptions/ false beliefs
3.1 False or misleading informationAI systemOtherPost-deployment
Misinformation Harms > Erosion of trust in public information
1.1 Unfair discrimination and misrepresentationHumanOtherPost-deployment