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AI Risk

Incorrect data labels

"Data labels are essential for any supervised learning algorithm since they preset the result of the learning process. If the correctness of the data labels is not given, the AI system is prevented from learning the ground truth and therefore the intended functionality."

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

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Domain7. AI System Safety, Failures, & Limitations
Subdomain7.3 > Lack of capability or robustness
Entity1 - Human
Intent2 - Unintentional
Timing1 - Pre-deployment
CategoryIncorrect data labels
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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