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