BackPropagating misconceptions / false beliefs
Propagating misconceptions / false beliefs
Risk Domain
AI systems that inadvertently generate or spread incorrect or deceptive information, which can lead to inaccurate beliefs in users and undermine their autonomy. Humans that make decisions based on false beliefs can experience physical, emotional or material harms
"Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"
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