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AI Risk

Data bias

"Historical and societal biases that are present in the data are used to train and fine-tune the model."

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AI Risk1. Discrimination & Toxicity1.1 > Unfair discrimination and misrepresentation2 - Post-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain1. Discrimination & ToxicityThe broad risk area this belongs to.

Risk profile

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Domain1. Discrimination & Toxicity
Subdomain1.1 > Unfair discrimination and misrepresentation
Entity1 - Human
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryTraining Data Risks (Fairness)
SubcategoryData bias

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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