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Biases in coaching data or algorithmic final decision-creating can lead to unequal treatment and reinforce societal prejudices. Ethical AI needs continual initiatives to handle and rectify biases, promoting inclusivity and fairness in diverse contexts.Ultimately, these algorithms and elements need to be integrated into broader socio-technical metho