Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence

Kaplan, Jerry

ISBN 10: 0300213557 / ISBN 13: 9780300213553

Published by Yale University Press, 2015

About this Item

Fast Free Shipping â Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.

Seller Inventory # GWV.0300213557.G

Bibliographic Details

• Title: Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence
• Publisher: Yale University Press
• Publication Date: 2015
• Language: English
• ISBN 10: 0300213557
• ISBN 13: 9780300213553
• Binding: Hardcover
• Condition: good

About this title

Synopsis

An insightful, engaging tour by a noted Silicon Valley insider of how accelerating developments in Artificial Intelligence will transform the way we live and work

Selected as one of the 10 best science and technology books of 2015 by The Economist
 
After billions of dollars and fifty years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure — but as Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. He proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promise and perils of artificial intelligence is a must-read for business leaders and policy makers on both sides of the aisle.

About the Author

Jerry Kaplan is currently a fellow at the Center for Legal Informatics at Stanford University and teaches ethics and impact of artificial intelligence in the Computer Science Department.