BackEnvironmental & Societal Impact
Environmental & Societal Impact
"Addresses AI's broader societal effects, including labor displacement, mental health impacts, and issues from manipulative technologies like deepfakes. Additionally, it considers AI's environmental footprint, balancing resource strain and training-related carbon emissions against AI's potential to help address environmental problems."(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
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
Performance & Robustness
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment