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Empowering Women in AI highlights the stories of exceptional women who have contributed to the AI revolution. As the wave of artificial intelligence continues to grow, key players are often overlooked. Read more profiles here.

Here are some key figures you should know:

The Gender Gap in AI

An article by The New York Times at the end of last year highlighted the rise of AI with a list of 12 prominent figures, all men. However, the AI revolution began long before with women like Elaine Rich, Cynthia Dwork, and Cynthia Breazeal leading the way.

Despite the significant contributions of women in AI, they remain underrepresented in the workforce. According to a Stanford study, only 16% of AI specialization program faculty are women. Another study by the World Economic Forum found that women hold only 26% of analytics and AI roles.

Unfortunately, the gender gap in AI is widening, not narrowing.

Nesta's analysis in 2019 revealed that the percentage of academic papers on AI co-authored by women has not improved since the 90s. The lack of women in AI is detrimental to the industry.

Reasons for Disparities

Deloitte's survey among women in AI highlighted issues such as bias from male peers and discrimination due to non-conformity. Many women cited a lack of opportunities for AI education and unequal treatment in the tech industry.

The contribution of women to AI is undervalued, affecting the development of the field.

With a little luck, initiatives like TechCrunch's series on talented women in AI will help shift the needle in the right direction. But there is still much work to be done.

Profiles of women in AI offer suggestions for those looking to grow the field positively. Strong mentorship, commitment, and leadership by example are essential. Organizations can drive change by policy advocacy, recruitment, or education to support women in AI or encourage them to enter the field.

Change won't happen overnight, but every revolution starts with a small step.