Data Hemorrhage, Inequality, and You...
summary
Claim: mass data aggregation and machine learning shift control from public oversight into private hands, making bias harder to spot and legal remedies weaker. Examples: Palantir breaks silos to sell shared law‑enforcement databases; stingrays (Harris) tie NDAs and federal subsidies to secrecy; COMPAS‑style predictive sentencing and body‑cam AI embed opaque risk scores; one reidentification study recovers 43% re-identified of hospital records. Remedies shown: mandate stated purposes, minimization, community review, and the Seattle surveillance ordinance.
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chapters (25)
- 0:00Introduction
- 2:17What is the conversation
- 4:06Scope of the problem
- 5:52Data Hemorrhage
- 6:39Everyone Wants Your Data
- 7:32The 4 Gamechangers
- 7:46Aggregation
- 9:19Analytics
- 10:16Predictive Metrics
- 12:45Machine Learning
- 16:20Bias and AI
- 17:47Data and Infrastructure
- 21:16Private Sector Privacy
- 22:45Government Contracting
- 26:37Your Data
- 27:38Police Body Cameras
- 31:10Immigration
- 36:46Surveillance Tools
- 37:36Do We Give Up
- 40:08Coalitions
- 40:24Force Multiplier
- 40:41Legislation
- 41:27Surveillance Ordinance
- 42:06The Private Sector
- 42:59Q A
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