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Biases in training data or algorithmic final decision-building can result in unequal remedy and reinforce societal prejudices. Ethical AI needs continuous initiatives to handle and rectify biases, selling inclusivity and fairness in diverse contexts.These applications use AI to be familiar with user Tastes and behaviors, providing personalised and