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Viktor Mayer-Schoenberger

Framers

How Humans Can Thrive in the Age of the Machine

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As technology and artificial intelligence advances, are humans at risk of becoming obsolete?No. Humans have a unique ability to think around any problem and find fresh ways to frame it in different ways. This crucial skill is an overlooked aspect of what has made humans so successful as a species, but it's one we must learn to do better to manage a complex future.Frames are mental models of the world that we use to understand problems, and come up with new or refined solutions. From Copernicus to the Wright Brothers to the discovery of biomarkers for PTSD, Framers builds upon surprising and fascinating examples to show how we can choose the b… Mehr

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Produktdetails


Weitere Autoren: Cukier, Kenneth / Vericourt, Francis de
  • ISBN: 978-0-7535-5499-9
  • EAN: 9780753554999
  • Produktnummer: 34584099
  • Verlag: Random House UK
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 352 S.
  • Ausstattung: Trade Paperback
  • Masse: H23.4 cm x B15.3 cm

Über den Autor


Viktor Mayer-Schoenberger (Author) Viktor Mayer-Schönberger is Professor of Internet Governance and Regulation at the Oxford Internet Institute at Oxford University. He is also a faculty affiliate of the Belfer Center of Science and International Affairs at Harvard University. Viktor and his work have been featured in (among others) the New York Times, the Wall Street Journal, the Financial Times, The Economist, Nature, Science, BBC and Wired Magazine. He is also on the boards of foundations, think tanks and organizations focused on studying the information economy, and advises governments, businesses and NGOs on new economy and information society issues.Kenneth Cukier (Author) Kenneth Cukier is a Senior Editor at The Economist, and host of its weekly tech podcast Babbage. He is also an associate fellow at Saïd Business School at the University of Oxford, researching artificial intelligence. His TED Talk on AI and data has over 1 million views. Kenn was a foreign correspondent for two decades in Europe, Asia and America and was also a research fellow at Harvard's Kennedy School of Government. He has written for the New York Times, the Wall Street Journal, the Washington Post, the Financial Times and Foreign Affairs, among others. He has appeared as a commentator on CBS, CNN, NPR, the BBC and was a member of the World Economic Forum's global council on data-driven development and currently sits on the board of Chatham House and is a member on the Council on Foreign Relations.Francis de Vericourt (Author) Francis de Véricourt is Professor of Management Science at the European School of Management and Technology (ESMT) in Berlin. His current research explores how machine learning affects the way individuals frame their decisions and give rise to incentive problems. He has lived and worked in France, USA, Germany and Singapore. He has given talks at Yale University, Wharton School of Business, London Business School, Cambridge University, Tsinghua University, Singapore National University and many others, and has been the recipient of multiple teaching awards.

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