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Only Humans Need Apply

Winners & Losers in the Age of Smart Machines

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2 of 2 copies available
2 of 2 copies available
How should we adapt to an AI-driven future? "The world the authors describe may be unsettling, but it is [one we] will likely live to see." —The Wall Street Journal
Nearly half of all working Americans could be at risk losing their jobs because of technology. That includes millions of knowledge workers—writers, paralegals, assistants, medical technicians—now threatened by accelerating advances in artificial intelligence.
The industrial revolution shifted workers from farms to factories. In Era One of automation, machines relieved humans of manually exhausting work. Today, Era Two of automation continues to wash across the entire services-based economy that has replaced jobs in agriculture and manufacturing. Era Three, and the rise of AI, is dawning. Smart computers are demonstrating they are capable of making better decisions than humans. Brilliant technologies can now decide, learn, predict, and even comprehend much faster and more accurately than the human brain, and their progress is accelerating. Where will this leave lawyers, nurses, teachers, and editors? How do we find sustainable careers in the near future?
Only Humans Need Apply reframes the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem-solving as we move into the next era together. The choice is ours.
"A fine call to action in the face of uncertainty." —Financial Times
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    • Library Journal

      May 1, 2016

      Davenport (President's Distinguished Professor of Information Technology & Management, Babson Coll., MA; Big Data at Work) and Kirby (contributing editor, Harvard Business Review; coauthor, Standing on the Sun) here focus on knowledge workers (though an important chapter looks at the role of managers), defined as those "whose primary tasks involve the manipulation of knowledge and information." The authors claim that new and foreseeable developments in information technology will allow for more decision making--when contingencies are known and there are clear processes--to be handled by computers, and that staff should be preparing for this now if they are to remain employed. Far from pessimistic, Davenport and Kirby claim that data can be used to enhance the value of output by both computers and humans and to foster innovation. They call this "augmentation," which they contrast with the concept of automation, a method that aims to cut costs by eliminating positions. Five different strategies to maintain employability are proposed. Each is distinct and appropriate for various audiences. All are discussed in depth and at some length. Throughout, the authors provide examples that strike a practical note. VERDICT This book will appeal primarily to knowledge workers concerned about their futures in the industry, secondarily to those seeking to enhance their careers, and also to managers.--Shmuel Ben-Gad, Gelman Lib., George Washington Univ., Washington, DC

      Copyright 2016 Library Journal, LLC Used with permission.

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  • English

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