Urban Crime Prediction: The Data, Ethics, and Biases of Predicting Events

Urban Crime Prediction: The Data, Ethics, and Biases of Predicting Events

The University of Chicago via YouTube Direct link

Neural network vs fractal network

28 of 31

28 of 31

Neural network vs fractal network

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Urban Crime Prediction: The Data, Ethics, and Biases of Predicting Events

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  1. 1 Introduction
  2. 2 What is AI
  3. 3 How should we constrain AI
  4. 4 Crime
  5. 5 Free Will
  6. 6 Predicting Crime
  7. 7 Identifying Hotspots
  8. 8 Large Spaces
  9. 9 Argon Topology
  10. 10 Intuition
  11. 11 Crime in Chicago
  12. 12 Predicting Events
  13. 13 Data
  14. 14 Prediction Problem
  15. 15 Prediction Performance
  16. 16 Boston
  17. 17 Predictive Results
  18. 18 Fractal Net
  19. 19 Digital Twin
  20. 20 Measurement Error
  21. 21 AI
  22. 22 AI vs AUC
  23. 23 How is this data being used
  24. 24 What can policy makers do to change enforcement strategies
  25. 25 Predicting other causes of death
  26. 26 Predicting crime rates
  27. 27 Racial stereotyping
  28. 28 Neural network vs fractal network
  29. 29 Event log
  30. 30 AI predictions
  31. 31 Next steps

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