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Machines of Loving Grace

The Quest for Common Ground Between Humans and Robots

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Machines of Loving Grace

Auteur(s): John Markoff
Narrateur(s): George Newbern
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As robots are increasingly integrated into modern society - on the battlefield and the road, in business, education, and health - Pulitzer Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: Will these machines help us, or will they replace us?

In the past decade alone, Google introduced us to driverless cars, Apple debuted a personal assistant that we keep in our pockets, and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the Internet. There is little doubt that robots are now an integral part of society, and cheap sensors and powerful computers will ensure that in the coming years, these robots will soon act on their own. This new era offers the promise of immense computing power, but it also reframes a question first raised more than half a century ago, at the birth of the intelligent machine: Will we control these systems, or will they control us?

In Machines of Loving Grace, New York Times reporter John Markoff, the first reporter to cover the World Wide Web, offers a sweeping history of the complicated and evolving relationship between humans and computers. Over the recent years, the pace of technological change has accelerated dramatically, reintroducing this difficult ethical quandary with newer and far weightier consequences. As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s to the modern-day brain trusts at Google and Apple in Silicon Valley and on to the expanding tech corridor between Boston and New York, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work.

©2015 John Markoff (P)2015 HarperCollins Publishers
Amériques Histoire et culture Ingénierie Science États-Unis Robotique Intelligence artificielle Internet Science des données Programmation Entreprise Silicon Valley Apprentissage automatique

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