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  • Published: 18 May 2021
  • ISBN: 9780753554999
  • Imprint: WH Allen
  • Format: Trade Paperback
  • Pages: 272
  • RRP: $40.00

Framers

Human Advantage in an Age of Technology and Turmoil




Bestselling authors of BIG DATA provide an empowering new story of the unique human skills to help us survive an age of AI and big data

You can learn to think around any problem.

As humans we are at our best – our most creative and effective – when we choose the constraints through which we approach problems. We come up with different ‘frames’ through which to look at issues and give us new ways to thinking about solving them. As Daniel Kahneman has written, this ability to ‘frame’ issues is a uniquely human skill – it may be a crucial skill that has made humans so successful as a species -- and one that we do instinctively. But we can learn to do it better.

Focusing on and improving our ability to frame is all the more critical in an age of artificial intelligence, machine learning, and big data. When we overvalue the role of machine intelligence, we are at risk of forfeiting the essential elements of human progress. Causality, counterfactuals and constraints are the basis of framing. Framers start with causality , making mental models of cause and effect, and then apply counterfactual ‘what if’s of problem solving. Counterfactuals allow for imagination, but only within limits – constraints – based on how the world really works. From Copernicus to the Wright Brothers to the discovery of biomarkers for PTSD, Framers builds upon surprising and insightful examples of these three factors at work. It goes on to show how we can choose the best frames and can switch between them or improve upon them as the situation demands. The better we are at doing so, the more certain we can be that control over the most important decisions will remain in the hands of people rather than machines.

Framers will change how you think about human potential, the power of machines, the future of diversity and human creativity.

  • Published: 18 May 2021
  • ISBN: 9780753554999
  • Imprint: WH Allen
  • Format: Trade Paperback
  • Pages: 272
  • RRP: $40.00

About the authors

Viktor Mayer-Schoenberger

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

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

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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