Business Decision Making
Adversarial debiasing is a technique used in machine learning to reduce bias in algorithms by incorporating adversarial training. This process involves creating models that are challenged by an adversary aiming to exploit any existing biases, thereby improving fairness and accuracy in decision-making systems. By simulating opposition, this method ensures that the model learns to make more equitable decisions across diverse groups.
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