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AI Risk

Data contamination

"Data contamination occurs when incorrect data is used for training. For example, data that is not aligned with model’s purpose or data that is already set aside for other development tasks such as testing and evaluation."

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AI Risk7. AI System Safety, Failures, & Limitations7.3 > Lack of capability or robustness1 - Pre-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

Risk profile

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Domain7. AI System Safety, Failures, & Limitations
Subdomain7.3 > Lack of capability or robustness
Entity1 - Human
Intent2 - Unintentional
Timing1 - Pre-deployment
CategoryTraining Data Risks (Accuracy)
SubcategoryData contamination

Related techniques

Attack methods connected to this risk.

No linked attack methods. No AI attack method is connected to this risk in the current data.

Suggested mitigations

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No propagated mitigations. No defense is available through the connected attack methods.

Source

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