The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk.
The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to make stronger prediction, in addition to the ceaselessly paradoxical effects of these better predictions on our understanding of risk and the ways we are living. 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 monitoring individual health and elections.
As prediction grows more robust, it also alters the nature of the accompanying risk, setting up unintended and unexpected consequences.
The Age of Prediction details how predictive certainties can bring about complacency or even an increase in risks—genomic analysis might lead to unhealthier lifestyles or a GPS might encourage less attentive driving. With greater predictability also comes a degree of mystery, and the authors ask how narrower risks might have an effect on markets, insurance, or risk tolerance most often. Are we able to ever reduce risk to zero? Will have to we even try? This book lays an intriguing groundwork for answering these fundamental questions and maps out the latest tools and technologies that power these projections into the future, from time to time the usage of novel, cross-disciplinary tools to map out cancer growth, people’s medical risks, and stock dynamics.
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