One key aspect of tackling gender bias in machine learning models lies in promoting diversity within teams developing these technologies. Diverse teams are more likely to recognize and address biases in datasets and algorithms. While there is a push towards greater diversity, the tech industry still faces significant gaps in representation. Without a more diverse workforce, efforts to combat gender bias will continue to be hampered.
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