~/talk

Is ChatGPT (and Other AI) the Enemy of Diversity?

slides:none on file

Claims and evidence center on real numbers and real failures: large language models hit 100 million users in two months, GPT‑4 shows an 82% reduction in disallowed outputs after tougher RLHF rules, the industry is 22% women, Kenyan contractors are paid cents to label trauma content, robotic police dogs and a Detroit misidentification case show deployment harms, and examples that work include lung‑cancer detection, flood prediction and Be My Eyes; reinforcement learning from human feedback and data curation are the concrete levers proposed.

AI-written summary · about

  1. 0:00Welcome
  2. 3:49Why this talk matters
  3. 7:00AI 101 basics
  4. 11:12Bias from history to AI
  5. 14:41Bias in AI training
  6. 17:27AI ethics gone wrong
  7. 21:23Global AI threats
  8. 23:07AI empowering communities
  9. 27:19AI for sustainability and health
  10. 30:48AI regulations and governance
  11. 33:39Ethical AI proposals
  12. 36:08Poem on AI and ethics
  13. 39:44Q&A
  14. 43:55Q&A older generations
  15. 47:49Q&A removing personal data
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