BackMisinformation
Misinformation
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
Wrong information not intentionally generated by malicious users to cause harm, but unintentionally generated by LLMs because they lack the ability to provide factually correct information.(p. 9)
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 Reliability
Other risks from Liu et al. (2024) (34)
Reliability
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Hallucination
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Inconsistency
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment
Reliability > Miscalibration
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Reliability > Sychopancy
3.1 False or misleading informationAI systemIntentionalPost-deployment
Safety
1.2 Exposure to toxic contentAI systemOtherPost-deployment