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AI Risk

Lack of transparency

"The idea of a "black box" making decisions without any explanation, without offering insight in the process, has a couple of disadvantages: it may fail to gain the trust of its users and it may fail to meet regulatory standards such as the ability to audit."

AI Risk7. AI System Safety, Failures, & Limitations7.4 > Lack of transparency or interpretability3 - Other

Record summary

A quick snapshot of what this page covers.

Techniques1Attack methods connected to this risk.
Mitigations2Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain7. AI System Safety, Failures, & Limitations
Subdomain7.4 > Lack of transparency or interpretability
Entity2 - AI
Intent2 - Unintentional
Timing3 - Other
CategoryLack of transparency
Subcategoryn/a

Suggested mitigations

Defenses that may help with related attacks.

Sanitize Training Data

Business and Data UnderstandingData Preparation+1 more
LifecycleBusiness and Data Understanding + 2 moreCategoryTechnical - ML

Source

Research source for this risk, when available.