Checks and Balances in Governance by AI
summary
Argument: liberal democracies designed for rule-based government are failing when firms govern by data and algorithms. Uses Waze routing to show externalities, DMCA/Content ID and YouTube/Google removals (including misclassified public‑domain or news material) and Germany’s 24‑hour takedown push as concrete failures. Proposes contestable algorithms that run flagged items through a social‑values ML layer plus human review, ties platform immunity to safe‑harbor conditionality requiring consultation and auditable scoring outputs (percentile fair‑use/legitimacy) to expose tradeoffs and enable oversight.
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chapters (22)
- 0:00Introduction
- 5:27Tools for safeguarding freedom
- 7:30Privacy and surveillance
- 8:50Data ownership
- 9:52Private companies
- 11:40Datadriven innovation
- 15:33Content moderation by AI
- 23:25Content removal by AI
- 26:35The problem with this system
- 30:50The reasons
- 31:08Efficiency
- 34:14Content moderation
- 36:23Regulatory proposals
- 38:43Computational Dispute Resolution
- 39:42Intervention
- 40:50Scoring
- 41:21Data
- 41:58Tradeoffs
- 42:57Advantages
- 44:07Comments
- 52:13Social Contract
- 58:08Governance by Rules
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