BackMisleading Information
Misleading Information
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
Large models are usually susceptible to hallucination problems, sometimes yielding nonsensical or unfaithful data that results in misleading outputs.(p. 3)
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 Deng et al. (2023) (6)
Toxicity and Abusive Content
1.2 Exposure to toxic contentOtherOtherPost-deployment
Unfairness and Discrimination
1.1 Unfair discrimination and misrepresentationOtherOtherPost-deployment
Ethics and Morality Issues
7.3 Lack of capability or robustnessAI systemOtherPost-deployment
Controversial Opinions
1.2 Exposure to toxic contentAI systemOtherPost-deployment
Privacy and Data Leakage
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationAI systemUnintentionalPre-deployment
Malicious Use and Unleashing AI Agents
4.0 Malicious Actors & MisuseOtherIntentionalPost-deployment