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Responsibility
Risk Domain
Inadequate regulatory frameworks and oversight mechanisms that fail to keep pace with AI development, leading to ineffective governance and the inability to manage AI risks appropriately.
HLI-based systems such as self-driving drones and vehicles will act autonomously in our world. In these systems, a challenging question is “who is liable when a self-driving system is involved in a crash or failure?”.
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 Saghiri et al. (2022) (15)
Energy Consumption
6.6 Environmental harmAI systemUnintentionalPre-deployment
Data Issues
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalOther
Robustness and Reliability
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment
Cheating and Deception
7.2 AI possessing dangerous capabilitiesAI systemUnintentionalPost-deployment
Security
2.2 AI system security vulnerabilities and attacksHumanIntentionalOther
Privacy
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationAI systemOtherPre-deployment