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Contents

© 2023 Princeton University Press, Princeton

© 2023 Princeton University Press, Princeton

Chapters in this book

  1. Frontmatter i
  2. Contents vii
  3. Introduction 1
  4. 1 The Politics of Machine Learning I 13
  5. 2 Fairness 36
  6. 3 Discrimination 55
  7. 4 Political Equality 81
  8. 5 Facebook and Google (The Politics of Machine Learning II) 104
  9. 6 Infrastructural Power 132
  10. 7 Democratic Utilities 157
  11. 8 Regulating for Democracy 183
  12. Conclusion 212
  13. Acknowledgments 223
  14. Notes 225
  15. Index 291
  16. A NOTE ON THE TYPE 305
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Algorithms for the People
This chapter is in the book Algorithms for the People
https://doi.org/10.1515/9780691244914-toc

Chapters in this book

  1. Frontmatter i
  2. Contents vii
  3. Introduction 1
  4. 1 The Politics of Machine Learning I 13
  5. 2 Fairness 36
  6. 3 Discrimination 55
  7. 4 Political Equality 81
  8. 5 Facebook and Google (The Politics of Machine Learning II) 104
  9. 6 Infrastructural Power 132
  10. 7 Democratic Utilities 157
  11. 8 Regulating for Democracy 183
  12. Conclusion 212
  13. Acknowledgments 223
  14. Notes 225
  15. Index 291
  16. A NOTE ON THE TYPE 305
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