Diversity In The Artificial Intelligence Industry Statistics

The artificial intelligence industry suffers from a lack of diversity, with women representing only 12% of AI researchers and minorities being significantly underrepresented.

Statistic 1

"AI jobs held by women rose from 24% in 2019 to 34.4% in 2020."

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Statistic 2

"In 2018, only 14.9% of AI and information service professionals in Silicon Valley were Hispanic or Latinx."

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Statistic 3

"Out of all employees working in big data and artificial intelligence, only 2.5% identify as black."

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Statistic 4

"In the US, the percentage of AI jobs filled by Asian professionals increased from 29% in 2019 to 39% in 2020."

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Statistic 5

"Roughly one in every ten AI publications has a female author."

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Statistic 6

"Only 10% of AI researchers at Google are women."

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Statistic 7

"According to an AI Now Institute report, companies like Microsoft and Facebook have a 'diversity disaster', with women making up less than a quarter of AI teams."

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Statistic 8

"In the UK, only 16% of undergraduate degrees in AI and related subjects are earned by women."

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Statistic 9

"The proportion of AI professionals of colour actually decreased between the years 2000 and 2018, from 32% to 29%."

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Statistic 10

"Among AI professionals, around 7.7% self-identify as members of the LGBTQ+ community."

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Statistic 11

"In the AI sector, women represent only 22% of the AI workforce, a figure that has remained static since 2015."

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Statistic 12

"Globally, countries have an AI gender gap of 32%."

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Statistic 13

"In the United States, only 18% of AI professors are women."

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Statistic 14

"According to a study from Element AI, only 13.8% of AI researchers who contributed to three leading AI conferences were female."

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Statistic 15

"18% of AI startups globally have at least one woman founder."

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Statistic 16

"In leadership roles in AI, men outnumber women three to one, this despite numerous evidence indicating that diverse teams provide better business results."

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Statistic 17

"In a study of 1,000 professionals employed across seven sectors working in AI and machine learning, 44% were white, 40% were Asian, 2% black, 3% Latinx, and 11% were identified as other."

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