BackAccident Risks
Accident Risks
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.
"Risks arising from operational failures, model misjudgments, or improper human operation of AI systems deployed in safety-critical infrastructure, where single points of failure can trigger cascading catastrophic consequences."(p. 4)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Supporting Evidence (2)
1.
Threat source: Human operational error or model misjudgment(p. 4)
2.
"Accident risks arise from the deployment of general-purpose AI models in safety-critical infrastructure where operational failures, model misjudgments, or improper human operation could trigger cascading failures with catastrophic consequences. Unlike misuse scenarios involving malicious intent, accident risks emerge from the inherent unreliability of AI systems or human operators when operating in complex, high-stakes environments where human lives and societal stability depend on correct functioning."(p. 8)
Other risks from SAIL & Concordia AI (2025) (36)
Misuse Risks
4.0 Malicious Actors & MisuseHumanIntentionalPost-deployment
Loss of Control Risks
5.2 Loss of human agency and autonomyAI systemOther
Model Capabilities
7.2 AI possessing dangerous capabilitiesNot codedNot codedNot coded
Cyber Offense Risks
4.2 Cyberattacks, weapon development or use, and mass harmHumanIntentionalPost-deployment
Biological and Chemical Risks
4.2 Cyberattacks, weapon development or use, and mass harmHumanIntentionalPost-deployment
Physical Harm and Injury Risks
4.2 Cyberattacks, weapon development or use, and mass harmHumanIntentionalPost-deployment