Data protection and Big Data: what about regulating Big Data analytics?
summary
Debate centers on whether to regulate the analytics layer — algorithms, profiles and models — not just data collection; concrete claims include predictive policing uses billions of commercial records to assign red/yellow/green threat scores and produce self‑fulfilling, discriminatory outcomes. Examples: Snowden leaks show social‑graph enrichment; ten live law‑enforcement big‑data projects and multimillion‑euro procurements are underway; a small survey finds 60% of surveyed users falsify online identities, complicating open‑source analysis. Proposed remedies: audit logs, supervisory access to algorithmic behavior, GDPR default plus special rules for policing.
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chapters (34)
- 0:00Introduction
- 1:51What is the topic
- 7:42What is done with the data
- 10:00Big Data Valence
- 18:00Europol
- 20:45Common Law Principle
- 21:21Data Protection
- 22:09Big Data
- 22:52Big Data tools for law enforcement
- 24:17Big Data and data protection
- 25:36Big Data analytics
- 26:01Big Data analytics in future
- 26:27Europols mandate
- 28:18Conclusion
- 31:11General thoughts
- 32:21Expectations for the industry
- 33:18Other forms of regulation
- 34:14Special regulation
- 35:07Secret services
- 35:58Privacy committee
- 37:24Justice sector
- 38:18Justice
- 39:01Hotel
- 40:27Core requirements
- 41:25Open source intelligence
- 42:34Enhance decisionmaking capability
- 43:11Industryled solution
- 44:21Cyberbase investigation
- 44:46proportionality
- 46:47Intelligence and Big Data
- 47:55Big Data Regulation
- 50:19Edward Snowden
- 54:38Black boxes
- 57:22Principles
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