Eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions?
Content Note
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.