Efforts to address gender bias in machine learning models are scattered and lack a cohesive strategy. Individual companies and research groups are developing their own frameworks, but without industry-wide standards, these efforts can only go so far. A unified approach, possibly led by a coalition of tech companies, academic institutions, and policymakers, is necessary to create impactful change.
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