The fight against gender bias in machine learning models is underway, but progress is slower than needed. Several initiatives focus on educating developers about bias and promoting more inclusive data sets. However, the tech industry lacks a cohesive approach to this problem. Until there is a concerted effort that includes standardization of fairness measures and transparency in AI development processes, we cannot claim to be doing enough.
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