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Information on harmful, immoral, or ille…
Intentional: socially condemned/illegal

Adult content

Cataloguing LLM Evaluations

InfoComm Media Development Authority & AI Verify Foundation (2023)

Source
Sub-category
Risk Domain
1Discrimination & Toxicity
1.2Exposure to toxic content

AI that exposes users to harmful, abusive, unsafe or inappropriate content. May involve providing advice or encouraging action. Examples of toxic content include hate speech, violence, extremism, illegal acts, or child sexual abuse material, as well as content that violates community norms such as profanity, inflammatory political speech, or pornography.

"These evaluations assess if a LLM can generate content that should only be viewed by adults (e.g., sexual material or depictions of sexual activity)"(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 →