To ensure AI designs reflect the diversity of women in tech, developers must incorporate intersectional data models. These models take into account the various dimensions of identity, including gender, race, age, and socio-economic status, among others. By training AI systems on a broad spectrum of female experiences, AI can offer more inclusive and representative solutions.
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