Academic sessions on data processing and privacy
summary
Panel argues consent-driven data flows erode autonomy and offers concrete fixes: a honeypot experiment registers 152 accounts and 460 newsletters across 612 firms, finds 87 firms emailed back, only 4 observable transfers, and most access requests fail to meet full legal detail; legal analysis maps collisions between trade secrets and data protection and proposes contextualized cooperation and joint-controller models; technical proposals test decentralised solutions like Enigma blockchain tokens and OpenPDS-style safe answers to enable personalization without raw-data disclosure.
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chapters (6)
- 0:00Welcome
- 1:53Introducing speakers
- 7:53Big data privacy challenges
- 28:59IP versus personality rights
- 50:21Corporate compliance with laws
- 1:03:17Discussion and audience questions
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