~/talk

Surveying Identity or Surveillance...

slides:none on file

Claim: the omission of identity data causes harm and biases; adding wider fields produces actionable insight. Cited specifics: Melinda Gates funds $80 million for girls data, OkCupid expands gender options, Estonia runs an e‑census that passively aggregates government records. Built examples: a bank‑history credit forecast prototype replaces opaque FICO, and startups correlate phone‑call networks to loan repayment. Practical tools recommended: DuckDuckGo and EFF Privacy Badger and speculative fixes like open ID / blockchain identity for user control.

AI-written summary · about

  1. 0:00Introduction
  2. 3:56Data collection
  3. 7:45Slow sampling
  4. 15:33Survey data
  5. 15:51Challenges
  6. 16:36Conjections
  7. 18:01heterogeneity thrives
  8. 18:32emission of data
  9. 19:30money soil
  10. 21:33supervision
  11. 22:08blind spots
  12. 23:11useful identification
  13. 25:03Estonian census
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