Prologue: Starting with logic.- CHAPTER 1: Two Revolutions.- CHAPTER 2: Getting past logic.- CHAPTER 3: Experience and data as input.- CHAPTER 4: Finding patterns as the path from input to output.- CHAPTER 5: Output as prophecy.- CHAPTER 6: Explanations of machine learning.- CHAPTER 7: Juries and other reliable predictors.- CHAPTER 8: Poisonous datasets, poisonous trees.- CHAPTER 9: From Holmes to AlphaGo.- CHAPTER 10:Conclusion.- EPILOGUE: Lessons in two directions.
Thomas D. Grant is a Fellow of the Lauterpacht Centre for International Law, University of Cambridge, UK.
Damon J. Wischik is a Lecturer in the Department of Computer Science and Technology, University of Cambridge, UK.