The gender gap in AI adoption, exclusion, effects and economic impact is real, global and immediate. It is caused by many factors including reticence to embrace, sexism in human leaders and discrimination emerging in the technology itself. The systems and the culture in AI and tech need to change.
A recent report from Harvard Business School with researchers from Harvard, Stanfrod and Berkeley universities shows, “Gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than 140,000 individuals across the world, combined with estimates of the gender share of the hundreds of millions of users of popular generative AI platforms, we demonstrate that the gender gap in generative AI usage holds across nearly all regions, sectors, and occupations.”
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