BackBias, Stereotypes, and Representational Harms
Bias, Stereotypes, and Representational Harms
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.
"Generative AI systems can embed and amplify harmful biases that are most detrimental to marginalized peoples."(p. 4)
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 Solaiman et al. (2023) (11)
Cultural Values and Sensitive Content
1.2 Exposure to toxic contentAI systemUnintentionalPost-deployment
Disparate Performance
1.3 Unequal performance across groupsAI systemUnintentionalOther
Privacy and Data Protection
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationHumanOtherOther
Financial Costs
6.1 Power centralization and unfair distribution of benefitsHumanIntentionalOther
Environmental Costs
6.6 Environmental harmHumanUnintentionalOther
Data and Content Moderation Labor
6.2 Increased inequality and decline in employment qualityHumanIntentionalPre-deployment