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MIT AI Risk Initiative
BackBenchmarking (Annotation contamination)
Benchmarking (Guideline contamination)
Benchmarking (Post-deployment contaminat…

Benchmarking (Annotation contamination)

Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems

Gipiškis et al. (2024)

SourceDOI
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.

"Annotation contamination refers to scenarios where the model is exposed to the benchmark labels during training [170]. This type of contamination can make the model learn the acceptable distribution of outputs. Combining this with raw data contamination of the test split, any evaluation made with the benchmark is invalidated because the entire test split is essentially leaked to the model."(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 Gipiškis et al. (2024) (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 →