A critical lens through which to assess the effectiveness of current AI bias mitigation strategies for women in tech is the aspect of transparency and accountability. Efforts that include transparent reporting of AI systems' performance and biases, coupled with accountability measures for discrepancies, show a higher chance of addressing gender bias effectively. When companies and developers are motivated to not only acknowledge but actively rectify biases in their AI products, the results are more conducive to creating an equitable tech environment for women.
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