BackProductivity loss
Productivity loss
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.
"End user's loss of productivity due to the underperfomance of a genAI application, including producing nonsensical or poor quality outputs, degrading its utility."
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 Li et al. (2025) (40)
Autonomy
5.2 Loss of human agency and autonomyOtherOtherOther
Autonomy > Impersonation / identity theft
4.3 Fraud, scams, and targeted manipulationHumanIntentionalPost-deployment
Misinformation Harms
3.1 False or misleading informationAI systemOtherPost-deployment
Representation and Toxicity
1.0 Discrimination & ToxicityAI systemUnintentionalPost-deployment
IP / copyright / personality / rights loss
4.3 Fraud, scams, and targeted manipulationHumanIntentionalPost-deployment
Autonomy / agency loss
5.2 Loss of human agency and autonomyOtherOtherOther