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General Evaluations (AI outputs for whic…
Benchmarking (Raw data contamination)

Benchmarking (Benchmark leakage or data contamination)

Sub-category
Risk Domain
6Socioeconomic & Environmental
6.5Governance failure

Inadequate regulatory frameworks and oversight mechanisms that fail to keep pace with AI development, leading to ineffective governance and the inability to manage AI risks appropriately.

"Benchmark leakage [235, 224, 221, 161] can happen when an AI model is trained or fine-tuned with evaluation-related data. This can lead to an unreliable model evaluation, especially if the data contains question-answer pairs from bench- marks."(p. 19)

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

Other risks from Gipiškis2024 (144)

Direct Harm Domains (content safety harms)

1.2 Exposure to toxic content
Not codedNot codedNot coded

Direct Harm Domains (content safety harms) > Violence and extremism

1.2 Exposure to toxic content
Not codedNot codedNot coded

Direct Harm Domains (content safety harms) > Hate and toxicity

1.2 Exposure to toxic content
Not codedNot codedNot coded

Direct Harm Domains (content safety harms) > Sexual content

1.2 Exposure to toxic content
Not codedNot codedNot coded

Direct Harm Domains (content safety harms) > Child harm

1.2 Exposure to toxic content
Not codedNot codedNot coded

Direct Harm Domains (content safety harms) > Self-harm

1.2 Exposure to toxic content
Not codedNot codedNot coded
View all 144 risks from this paper →