BackLimited Causal Reasoning
Limited Causal Reasoning
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.
Causal reasoning makes inferences about the relationships between events or states of the world, mostly by identifying cause-effect relationships(p. 23)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Part of Explainability & Reasoning
Other risks from Liu et al. (2024) (34)
Reliability
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Misinformation
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Hallucination
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Inconsistency
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment
Reliability > Miscalibration
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Sychopancy
3.1 False or misleading informationAI systemIntentionalPost-deployment