Does AI have more potential for good than harm?
summary
Panel debates claim that 83% of $20/hr jobs could be automated and that trucking may lose 2–3 million US jobs by 2030, then points to concrete mitigations: Finland’s UBI pilot, government retraining and corporate back-office sharing like UBS/Credit Suisse, and an MIT paper showing shared supply‑chain data could boost profits ~30%. Risks include algorithms denying services (Medicaid), biased facial recognition (stop‑and‑frisk data), and unresolved privacy/token ideas. Watch if interest centers on specific numbers, policy experiments and practical tech tradeoffs.
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chapters (8)
- 0:00Intro
- 1:30Negative effects of disruption
- 3:14The ingenuity of people
- 7:03Changing workdays
- 11:14Creative destruction
- 14:57Collaboration
- 18:17Universal standards
- 22:01Silver lining
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