The tech future is diverse
summary
Tech products and interfaces routinely assume a narrow user and amplify bias, and that has measurable consequences: 22% of AI professionals are female, women in tech quit at 41% vs 17% for men, and global internet access leaves 3.6 billion people offline. Concrete fixes discussed include redesigning UX for low vision and seniors, auditing training datasets to de-bias models, changing job ads and hiring panels to stop excluding applicants, and embedding clear anti-harassment procedures so underrepresented people stay and contribute.
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chapters (9)
- 0:00Start
- 1:30Line Moseng
- 8:26Machine learning bias
- 11:28Minorities Quit
- 12:40Quit rate: 2x
- 13:31Wage Differences
- 15:36#MeToo Movement
- 22:33Women-only spaces
- 24:54Gender Equality
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