BackComplexity-induced knowledge gap
Complexity-induced knowledge gap
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 complexity of AI models and systems makes it challenging to demonstrate harm or establish a clear causal link between AI actions and their consequences."(p. 12)
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 Uuk et al. (2025) (60)
Control
7.1 AI pursuing its own goals in conflict with human goals or valuesAI systemIntentionalPost-deployment
Democracy
6.0 Socioeconomic & EnvironmentalOtherOtherOther
Discrimination
1.1 Unfair discrimination and misrepresentationOtherOtherPost-deployment
Economy
6.2 Increased inequality and decline in employment qualityOtherOtherPost-deployment
Environment
6.6 Environmental harmAI systemUnintentionalPost-deployment
Governance
6.5 Governance failureAI systemUnintentionalPost-deployment