Diversity: Two steps forward, one step back (just keep it going)
summary
Panelists argue AI can both break and entrench bias, citing Amazon halted HR system as a concrete failure and praising the EU AI Act for treating hiring as high risk and requiring humans in the loop. They report one surprising stat—94% of administrative roles are done by women—and describe practical fixes: Tesco runs a girls day, now offers every role as part‑time, uses mentoring and internal upskilling, runs Slido word clouds and a near‑100% audience pledge to try one action.
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chapters (34)
- 0:00Introduction
- 1:45Why diversity matters
- 3:10Diverse teams drive outcomes
- 4:59Diversity initiative challenges
- 6:26AI bias risks
- 7:32Women in AI development
- 9:18Upskilling for AI
- 10:00Loneliness in male spaces
- 13:11Missed diversity opportunities
- 14:19Accessibility in diversity
- 15:23Canceled DEI impact
- 16:50Pressure on underrepresented groups to prove themselves
- 17:34Feeling alone at work
- 19:23Pipeline problems in leadership
- 21:12Promoting diverse leadership
- 22:18Early STEM programs
- 23:03Flexible work for inclusion
- 23:47Human connection in diversity
- 24:54Assertive leadership styles
- 25:41Hard work for women
- 27:07Bias-free performance
- 28:12Diversity metrics vs merit
- 30:20Diversity drives innovation
- 31:09Diversity limitations
- 32:29Minorities in tech careers
- 33:12Early education gaps
- 34:13Advice for minorities
- 35:39Support and community
- 37:04Cultural diversity challenges
- 38:29Bridging cultural differences
- 39:53Managing cultural misunderstandings
- 40:56Neurodiversity accommodations
- 42:22Diversity challenges in Hungary
- 42:44Call to action
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