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Bias and Fairness: AI algorithms can perpetuate and amplify biases present inside the data used to teach them, leading to selections and outputs that discriminate against certain people today or teams. Addressing algorithmic bias and ensuring the fairness of AI systems is often a critical ethical obstacle.Supports early-stage research in emerging t