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Industry Urged to Bridge AI Gender Gap

A UNESCO expert calls for increased progress in tackling diversity in tech.

The gender gap in the AI industry risks fostering an economic and technological system with a massive underrepresentation of women, according to UNESCO’s Gabriela I. Ramos Patiño.

In an article posted on the World Economic Forum blog, the UNESCO assistant director-general for the social and human sciences suggested that the gender gap in AI is “self-perpetuating.”

She warned that the disparity in the number of women versus men in Industry 4.0 “exacerbates the lack of entry points for women into tech.”

“This huge inequity is a problem that has seen no improvement over the past decade, with the share of female AI and computer science PhDs stuck at 20%,” Patiño said.

A 2021 Deloitte study found that women make up just 26% of the AI workforce in the U.S. According to Patiño, the disparity has increased further due to the pandemic. She referred to TrustRadius’s report, which found women are twice as likely as men to have lost their jobs and 42% of women in tech say they took on most of the household work during the pandemic.

“The inequality women experience at work is compounded by the inequality they face at home,” she wrote.

Patiño also cited recent World Economic Forum research that states the percentage of male graduates in IT is nearly five times higher than women graduates (8.2% versus 1.7%).

“These numbers are an affront to key principles of diversity and inclusion. But the lack of female participation in this sector is also a detriment for the industry as a whole, which becomes more effective the more gender-diverse it is,” she added.

Bridge the gender gap in AI

Education and employment systems are perpetuating the problem, according to Patiño.

“The lack of gender diversity in the workforce, the gender disparities in STEM education and the failure to contend with the uneven distribution of power and leadership in the AI sector are very concerning, as are gender biases in data sets and coded in AI algorithm products,” she said.

Read the rest of this article on AI Business.

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