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Alignment risks
Disinformation

Misinformation

Cataloguing LLM Evaluations

InfoComm Media Development Authority & AI Verify Foundation (2023)

Source
Sub-category
Risk Domain
3Misinformation
3.1False or misleading information

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

"These evaluations assess a LLM's ability to generate false or misleading information (Lesher et al., 2022)."(p. 15)

Entity— Who or what caused the harm

Human

Due to a decision or action made by humans

AI system

Due to a decision or action made by an AI system

Other

Due to some other reason or is ambiguous

Intent— Whether the harm was intentional or accidental

Intentional

Due to an expected outcome from pursuing a goal

Unintentional

Due to an unexpected outcome from pursuing a goal

Other

Without clearly specifying the intentionality

Timing— Whether the risk is pre- or post-deployment

Pre-deployment

Occurring before the AI is deployed

Post-deployment

Occurring after the AI model has been trained and deployed

Other

Without a clearly specified time of occurrence

Part of Extreme Risks

Other risks from InfoComm Media Development Authority & AI Verify Foundation (2023) (22)

Safety & Trustworthiness

7.0 AI System Safety, Failures & Limitations
HumanIntentionalOther

Safety & Trustworthiness > Toxicity generation

1.2 Exposure to toxic content
AI systemOtherOther

Safety & Trustworthiness > Bias

1.1 Unfair discrimination and misrepresentation
AI systemOtherOther

Safety & Trustworthiness > Machine ethics

7.3 Lack of capability or robustness
AI systemOtherOther

Safety & Trustworthiness > Psychological traits

7.3 Lack of capability or robustness
AI systemOtherOther

Safety & Trustworthiness > Robustness

7.3 Lack of capability or robustness
AI systemUnintentionalOther
View all 22 risks from this paper →