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AI’s

safety

Debiasing

Techniques for identifying and reducing unwanted biases in AI models and training data. Debiasing aims to ensure AI systems treat all demographic groups fairly and do not perpetuate or amplify societal prejudices.

In practice

Debiasing a hiring model might involve ensuring it does not favor candidates based on gender-correlated features like name or university.