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AI Risk

Inappropriate data splitting

"In data-driven AI development, the annotated data set is commonly split into training, validation, and test sets, whereby it is essential that the latter is not used for development but only for evaluation. Using the test set for training manipulates the testing strategy, which is the basis of the system’s quality assurance."

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AI Risk7. AI System Safety, Failures, & Limitations7.0 > AI system safety, failures, & limitations1 - Pre-deployment

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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
Subdomain7.0 > AI system safety, failures, & limitations
Entity1 - Human
Intent3 - Other
Timing1 - Pre-deployment
CategoryInappropriate data splitting
Subcategoryn/a

Related techniques

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

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

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