BackDecision making transparency
Decision making transparency
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.
"We face significant challenges bringing transparency to artificial network decisionmaking processes. Will we have transparency in AI decision making?"(p. 690)
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 Meek et al. (2016) (17)
Unethical decision making
7.3 Lack of capability or robustnessAI systemIntentionalPost-deployment
Privacy
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationHumanIntentionalPost-deployment
Human dignity/respect
5.2 Loss of human agency and autonomyOtherOtherPost-deployment
Safety
7.3 Lack of capability or robustnessAI systemOtherPost-deployment
Law abiding
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment
Inequality of wealth
6.2 Increased inequality and decline in employment qualityHumanIntentionalPost-deployment