The Age of Prediction
Algorithms, AI, and the Shifting Shadows of Risk
$58.70
- Hardcover
232 pages
- Release Date
26 September 2023
Summary
The Age of Prediction is about two powerful, and symbiotic, trends- the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to m…
Book Details
| ISBN-13: | 9780262047739 |
|---|---|
| ISBN-10: | 026204773X |
| Author: | Igor Tulchinsky, Christopher E. Mason |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 232 |
| Release Date: | 26 September 2023 |
| Weight: | 567g |
| Dimensions: | 229mm x 152mm |
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What They're Saying
Critics Review
Included in The Next Big Idea Club’s August 2023 Must-Read Books list
Included in FT business books — what to read this month
“[An] ambitious new survey of how predictive algorithms are changing the world.”
—Financial Times
“The authors’ spirited dialogue illuminates their detailed survey of what predictive tech can do, from warfare to politics.”
— New Scientist
“The Age of Prediction details how predictive certainties can bring about complacency or even an increase in risks”
—Daily Kos
“A brilliant analysis of two abstractions that are increasingly shaping our lives.”
—Blogging on Business
This is a mixed review, but here is a good pull quote “an engaging overview of just how rapidly our predictive powers are expanding.”
—Law & Liberty
“[An] articulate book on how current and future artificial-intelligence algorithms will change apprehension of risk and affect human behavior.”
—Nature
About The Author
Igor Tulchinsky
Igor Tulchinsky is founder, chairman, and CEO of WorldQuant, a quantitative investment firm based in Old Greenwich, Connecticut. He is the author of Finding Alphas- A Quantitative Approach to Building Trading Strategies and The UnRules- Man, Machines and the Quest to Master Markets.
Christopher E. Mason is Professor of Genomics, Physiology, and Biophysics at Weill Cornell Medicine and the Director of the WorldQuant Initiative for Quantitative Prediction. He also holds affiliate appointments at the New York Genome Center, Yale Law School, and the Consortium for Space Genetics at Harvard Medical School. Dr. Mason is the author of The Next 500 Years- Engineering Life to Reach New Worlds.
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