BackAccountability
Accountability
Risk Domain
Challenges in understanding or explaining the decision-making processes of AI systems, which can lead to mistrust, difficulty in enforcing compliance standards or holding relevant actors accountable for harms, and the inability to identify and correct errors.
"The ability to determine whether a decision was made in accordance with procedural and substantive standards and to hold someone responsible if those standards are not met."(p. 31)
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 Teixeira et al. (2022) (15)
Manipulation
4.1 Disinformation, surveillance, and influence at scaleAI systemIntentionalPost-deployment
Accuracy
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment
Moral
7.3 Lack of capability or robustnessOtherUnintentionalPost-deployment
Bias
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalPre-deployment
Opacity
7.4 Lack of transparency or interpretabilityAI systemUnintentionalPost-deployment
Power
6.1 Power centralization and unfair distribution of benefitsHumanIntentionalOther