Emerging technologies, including AI and advanced analytics, offer new opportunities to identify and mitigate gender bias in quality control metrics. By analyzing vast amounts of data, these technologies can help uncover hidden biases and propose more objective measures for assessing quality. However, it's crucial to ensure the algorithms themselves are free from bias, underlining the importance of diverse programming teams.
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