Artificial Intelligence (AI) has rapidly woven itself into the fabric of our lives, promising to revolutionize industries and streamline processes. However, lurking beneath its seemingly impartial façade lies a profound ethical dilemma: the issue of bias in decision-making. As AI algorithms become increasingly integral to critical decision-making processes in areas such as hiring, lending, and criminal justice, the need to confront and mitigate algorithmic bias becomes more urgent than ever.
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