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Adversarial Debiasing

Understand the principles of adversarial debiasing as a mitigation method for AI fairness. Explore the architecture and training process of primary and adversarial models that work together to improve fairness while maintaining accuracy. Learn how to apply this approach to complex neural networks handling both tabular and unstructured data.

Adversarial learning

When addressing model unfairness, we have two goals that can sometimes be contradictory. First, we want the model to be as accurate as ...