Machine, Platform, Crowd
summary
Argues that automation reshapes work but does not yet eliminate jobs, producing net monthly job gains while hollowing the middle class and leaving many prime‑age men out of the workforce; describes a startup that builds applied ML products for Fortune 1000 clients; warns about biased decision systems citing ProPublica recidivism study and pushes for LIME interpretability and other methods to make deep‑learning black boxes editable; rejects fantasy singularity fears, critiques universal basic income as a cure, and predicts more wealth with risky distribution.
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chapters (7)
- 0:00Introduction
- 1:02Race against the machines
- 4:41Women in tech
- 7:56Economic policy and AI
- 10:28Bias in algorithms
- 13:46Interpretable AI
- 16:11Future outlook
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