AI, Corporate Responsibility & Democratic Legitimacy
summary
Argues that AI is a corporate asset needing auditable DevOps processes not mysticism, cites the Lavender system that labels 35,000 targets as a foreseeable misuse, shows agent‑based models where rising inequality drives in‑group cooperation, reproduces a 2017 finding that translation models mirror real‑world gender ratios, and compares patents vs market cap to show US dominance; recommends modular, human‑readable audits and the EU AI Act requires high‑risk documentation so operators can verify behavior.
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chapters (10)
- 0:00Intro
- 6:46When AI fails: Real-world examples
- 11:28Polarization & inequality like it's 1899
- 17:18How do we change? Who's responsible?
- 20:16EU digital regulation
- 27:20Does the EU have a right to regulate AI?
- 36:39DevOps
- 41:30Robots are not our peers
- 42:22Summary
- 43:20Outro
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