BackPerformance & Robustness
Performance & Robustness
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.
"The AI system's ability to fulfill its intended purpose and its resilience to perturbations, and unusual or adverse inputs. Failures of performance are fundamental to the AI system's correct functioning. Failures of robustness can lead to severe consequences."(p. 23048)
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 Sherman & Eisenberg (2023) (8)
Abuse & Misuse
4.2 Cyberattacks, weapon development or use, and mass harmHumanIntentionalPost-deployment
Compliance
6.5 Governance failureAI systemOtherPost-deployment
Environmental & Societal Impact
6.0 Socioeconomic & EnvironmentalOtherOtherPost-deployment
Explainability & Transparency
7.4 Lack of transparency or interpretabilityAI systemOtherOther
Fairness & Bias
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalOther
Long-term & Existential Risk
7.1 AI pursuing its own goals in conflict with human goals or valuesOtherOtherPost-deployment