BackUnclear attribution from AI component interactions
Unclear attribution from AI component interactions
Risk Domain
AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.
"Interactions between different AI components can cause harm, but it may be difficult to pinpoint which components are the cause."(p. 14)
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