Advancements in AI offer tools to actively detect and mitigate bias within AI systems. Employing these algorithms during both the training phase and operational phase of AI systems can significantly reduce implicit biases. Techniques such as re-balancing training data, adjusting model parameters, and employing fairness constraints are effective ways to counteract biases.
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