AI and automation are being increasingly used in the recruitment process, raising concerns about the potential reinforcement of gender bias. While these technologies have the capacity to streamline hiring, biases in the data they are trained on can inadvertently perpetuate gender stereotypes, affecting hiring diversity. A thorough examination of AI algorithms and continuous updates with unbiased data are essential to mitigate these concerns.
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