Ethics and Data Science
summary
Starts from concrete scandals — Facebook and Cambridge Analytica, Equifax, China’s social credit experiments — then argues current fixes (GDPR, corporate promises) barely change practice and often feel cosmetic. Proposes a technical design: a permissioned blockchain holding encrypted data with user-held keys, access governed by auditable smart contracts so institutions log who accessed what and when. Notes practical barriers: UX, adoption, and that prototypes shift control but don’t erase corruption or incentive misalignment.
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chapters (11)
- 0:00Start
- 6:50Person, you say..
- 9:27Challenge No. 1
- 13:34Possible cure
- 15:36Challenge No. 2
- 16:34Examples
- 19:42What do we get
- 22:53Challenge No. 3
- 23:43Be careful
- 23:55Sample that gives hope
- 25:26Thank you
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