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"(p. 30)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Part of Misinformation Harms
Other risks from Weidinger et al. (2023) (26)
Representation & Toxicity Harms
1.0 Discrimination & ToxicityAI systemUnintentionalPost-deployment
Representation & Toxicity Harms > Unfair representation
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalPost-deployment
Representation & Toxicity Harms > Unfair capability distribution
1.3 Unequal performance across groupsAI systemUnintentionalPost-deployment
Representation & Toxicity Harms > Toxic content
1.2 Exposure to toxic contentAI systemUnintentionalPost-deployment
Misinformation Harms
3.0 MisinformationAI systemOtherPost-deployment
Misinformation Harms > Erosion of trust in public information
1.1 Unfair discrimination and misrepresentationHumanOtherPost-deployment