AI is changing our world, but the stories of who build it often get lost in the noise.
Behind the headlines and hype, a group of women are solving AI’s fundamental challenges – despite working in an industry persisently impacted by gender inequality.
Women make up just 22% of AI professionals worldwide and only 12% of AI researchers. In academic publishing, female researchers account for just 29% ...
This narrative presents a compelling case for recognizing women’s underacknowledged role in shaping AI, but it also invites scrutiny of the framing and broader implications. The strongest version of this argument—its steelman—is that systemic gender inequality in AI isn’t just a diversity issue but a technical and ethical blind spot. The profiled leaders have directly addressed AI’s most critical challenges, from bias in facial recognition to the environmental cost of large models, while advocat...