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Think for Yourself: Restoring Common Sense in an Age of Experts and Artificial Intelligence

   
지은이 Vikram Mansharamani   |   출판사 Harvard Business School Press  |   발행일 2020년 06월 16일   |   언어 : English
 
판매가 42,000원33,600원 20%
마일리지 1% 420원
발행일 2020-06-16
ISBN 1633699218 |  9781633699212
기타정보 원서 | 256쪽 | $ 30 | Hardcover
예상입고일 14~21일 소요예정 (근무일기준)
배송비 무료배송
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의사결정
월간지수 100p 1 위
   
주의사항
  • - 현지사정에 의해 지연, 품절 될 수 있습니다.
  • - 해외주문원서는 취소 및 반품이 불가능합니다.(단, 파본이나 오발송은 제외 입니다.)
  • - 수입절차/입고소요기간 자세히
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    Have you ever followed your GPS device to a deserted parking lot? Or unquestioningly followed the advice of an expert—perhaps a doctor or financial adviser—only to learn later that your own thoughts and doubts were correct? And what about the stories we've all heard over the years about sick patients—whether infected with Ebola or COVID-19—who were sent home or allowed to travel because busy staff people were following a protocol to the letter rather than using common sense? Why and how do these kinds of things happen?

    As Harvard lecturer and global trend watcher Vikram Mansharamani shows in this eye-opening and perspective-shifting book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. Too often, we've stopped thinking for ourselves. With stark and compelling examples drawn from business, sports, and everyday life, Mansharamani illustrates how in a very real sense we have outsourced our thinking to a troubling degree, relinquishing our autonomy.

    Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively, harnessing the value they provide without undermining our ability to think for ourselves. The author provides principles and techniques for doing just that, empowering readers with a more critical and nuanced approach to making decisions.

    Think for Yourself is an indispensable guide for those looking to restore self-reliant thinking in a data-driven and technology-dependent yet overwhelmingly uncertain world.
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