Power and prediction : the disruptive economics of artificial intelligence /

Bibliographic Details
Main Authors: Agrawal, Ajay (Author), Gans, Joshua, 1968- (Author), Goldfarb, Avi (Author)
Corporate Author: EBSCOhost
Format: eBook
Language:English
Published: Boston, Massachusetts : Harvard Business Review Press, [2022]
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Part 1: The Between Times
  • Chapter 1: A Parable of Three Entrepreneurs
  • Chapter 2: AI's System Future
  • Chapter 3: AI Is Prediction Technology
  • Part 2: Rules
  • Chapter 4: To Decide or Not to Decide
  • Chapter 5: Hidden Uncertainty
  • Chapter 6: Rules are Glue
  • Part 3: Systems
  • Chapter 7: Glued vs. Oiled Systems
  • Chapter 8: The System Mindset
  • Chapter 9: The Greatest System of All
  • Part 4: Power
  • Chapter 10: Disruption and Power
  • Chapter 11: Do Machines Have Power?
  • Agrawal et al FM-
  • Chapter 12: Accumulating Power
  • Part 5: How AI Disrupts
  • Chapter 13: A Great Decoupling
  • Chapter 14: Thinking Probabilistically
  • Chapter 15: The New Judges
  • Part 6: Envisaging New Systems
  • Chapter 16: Designing Reliable Systems
  • Chapter 17: The Blank Slate
  • Chapter 18: Anticipating System Change
  • Epilogue: AI Bias and Systems