The Missing 78%: How Women in AI & Data Can Complete the Future of Innovation
summary
Claims specific numbers and case studies: 22% women in AI and the missing 78%; UN estimate of 131 years to close the gap; McKinsey and BCG figures like $12 trillion added to GDP and 48% higher revenue. Shows concrete harms—diagnostic AI failing women, hiring tools favoring male names, facial recognition 35% worse for women of color, Apple Card limits—and concrete interventions: Girls Who Code scale, corporate pay audits, mentorship cohorts, government policy wins and measured retention effects.
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chapters (9)
- 0:00Introduction
- 1:49Gender gap in AI and data
- 4:20Overcoming barriers
- 7:11Missing 78% crisis
- 11:55Barriers in education
- 14:31Economic impact of inclusion
- 17:44Five-step framework
- 23:03Male allies and policy
- 26:54Call to action
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