One of the emerging realizations is the necessity for interdisciplinary approaches in mitigating AI bias for women in tech. Current strategies often remain siloed within technical or policy domains, ignoring the interconnectedness of societal norms, tech culture, and algorithmic decision-making. By fostering collaboration across fields such as sociology, gender studies, computer science, and ethics, there is a greater potential to devise holistic strategies that address the multifaceted nature of gender bias in AI, offering more effective solutions for women in the tech industry.
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