Making training datasets publicly available for community review can help identify and mitigate gender biases. By open-sourcing datasets, organizations invite external experts and diverse communities to scrutinize and suggest improvements to the data. This collaborative approach not only enhances the quality of the data but also ensures transparency and accountability in the development of technology, contributing to the reduction of gender bias.
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