Extending the Theory of ML for Human-Centric Applications

Extending the Theory of ML for Human-Centric Applications

Stanford Online via YouTube Direct link

Concerns

9 of 18

9 of 18

Concerns

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Extending the Theory of ML for Human-Centric Applications

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  1. 1 Introduction
  2. 2 Examples of ML
  3. 3 Use of histories of arrests
  4. 4 The short answer
  5. 5 Better testing
  6. 6 Unfair predictions
  7. 7 Human guinea pigs
  8. 8 Causality
  9. 9 Concerns
  10. 10 Historical data
  11. 11 The legal system
  12. 12 The cost of mistakes
  13. 13 Active research
  14. 14 Drivingcentric object detection
  15. 15 Example
  16. 16 Hypothesis
  17. 17 Facial Recognition
  18. 18 Images

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