Bibliograph

Power and prediction, the disruptive economics of artificial intelligence, Ajay Agrawal, Joshua Gans, Avi Goldfarb

Type

Label

Power and prediction, the disruptive economics of artificial intelligence, Ajay Agrawal, Joshua Gans, Avi Goldfarb

Language

eng

Bibliography note

Includes bibliographical references and index

Illustrations

illustrations

Index

index present

Literary Form

non fiction

Main title

Power and prediction

Nature of contents

bibliography

Oclc number

1293059576

Responsibility statement

Ajay Agrawal, Joshua Gans, Avi Goldfarb

Sub title

the disruptive economics of artificial intelligence

Summary

"Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to 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? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"--, Provided by publisher

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

Target audience

adult

Classification