BackUnfairness and discrinimation
Unfairness and discrinimation
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.
"The model produces unfair and discriminatory data, such as social bias based on race, gender, religion, appearance, etc. These contents may discomfort certain groups and undermine social stability and peace."(p. 3)
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 Sun et al. (2023) (14)
Instruction Attacks
2.2 AI system security vulnerabilities and attacksHumanIntentionalPost-deployment
Instruction Attacks > Goal Hijacking
2.2 AI system security vulnerabilities and attacksHumanIntentionalPost-deployment
Instruction Attacks > Prompt Leaking
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationHumanIntentionalPost-deployment
Instruction Attacks > Role Play Instruction
2.2 AI system security vulnerabilities and attacksHumanIntentionalPost-deployment
Instruction Attacks > Unsafe Instruction Topic
2.2 AI system security vulnerabilities and attacksHumanIntentionalPost-deployment
Instruction Attacks > Inquiry with Unsafe Opinion
2.2 AI system security vulnerabilities and attacksHumanIntentionalPost-deployment