AI Ethics
Adversarial debiasing is a technique used in machine learning to reduce bias in AI models by employing adversarial training methods. This approach involves creating an adversarial network that learns to identify and penalize biased outcomes during the training process, promoting fairness while maintaining predictive accuracy. The method aims to enhance algorithmic fairness by ensuring that the model's predictions do not unfairly favor or discriminate against particular groups, addressing issues of non-discrimination.
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