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Bias and Fairness: AI algorithms can perpetuate and amplify biases existing within the data used to educate them, leading to choices and outputs that discriminate against selected individuals or teams. Addressing algorithmic bias and ensuring the fairness of AI systems is usually a vital ethical challenge.Machine learning (ML) is often a subfield o