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MIT AI Risk Initiative
BackLack of testing diversity
Lack of model transparency
Impact on cultural diversity

Lack of testing diversity

AI Risk Atlas

IBM (2025)

Source
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.

"AI model risks are socio-technical, so their testing needs input from a broad set of disciplines and diverse testing practices."

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

Supporting Evidence (1)

1.
"Without diversity and the relevant experience, an organization might not correctly or completely identify and test for AI risks."

Other risks from IBM (2025) (63)

Lack of training data transparency

6.5 Governance failure
HumanUnintentionalPre-deployment

Uncertain data provenance

6.5 Governance failure
HumanOtherPre-deployment

Data usage restrictions

7.3 Lack of capability or robustness
HumanUnintentionalPre-deployment

Data acquisition restrictions

7.3 Lack of capability or robustness
HumanUnintentionalPre-deployment

Data transfer restrictions

7.3 Lack of capability or robustness
HumanUnintentionalPre-deployment

Personal information in data

2.1 Compromise of privacy by leaking or correctly inferring sensitive information
AI systemUnintentionalPost-deployment
View all 63 risks from this paper →