Privacy laws that emphasize data minimization might inadvertently contribute to gender bias by limiting the diversity of data used in AI training. Ensuring a diverse dataset is crucial for developing unbiased AI systems, suggesting that privacy laws should also consider data representativeness to combat gender bias effectively.
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