Zusammenfassungen
In der Informatik existieren zwei Strömungen, diejenige der künstlichen Intelligenz, welche menschliche Intelligenz ersetzen will und diejenige der Human-Computer-Interaction, die menschliche Intelligenz durch Computer verstärken will. Ersetzen oder verstärken, welche Sichtweise wird sich durchsetzen?
Von Beat Döbeli Honegger, erfasst im Biblionetz am 30.12.2016The central topic of this book is the dichotomy and the paradox inherent in the work of the designers who alternatively augment and replace humans in the systems they build. This distinction is clearest in the contrasting philosophies of Andy Rubin and Tom Gruber. Rubin was the original architect of Google’s robot empire and Gruber is a key designer of Apple’s Siri intelligent assistant. They are both among Silicon Valley’s best and brightest, and their work builds on that of their predecessors—Rubin mirrors John McCarthy and Gruber follows Doug Engelbart—to alternatively replace or augment humans.
Von John Markoff im Buch Machines of Loving Grace (2015) im Text Preface I am interested in exploring a [...] question first posed by Norbert Wiener in his early alarms about the introduction of automation. What will the outcome of McCarthy’s and Engelbart’s differing approaches be? What are the consequences of the design decisions made by today’s artificial intelligence researchers and roboticists, who, with ever greater ease, can choose between extending and replacing the “human in the loop” in the systems and products they create? By the same token, what are the social consequences of building intelligent systems that substitute for or interact with humans in business, entertainment, and day-to-day activities?
Von John Markoff im Buch Machines of Loving Grace (2015) im Text Between Human And Machine 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. We are on the verge of a technological revolution, Markoff argues, and robots will profoundly transform the way our lives are organized. Developers must now draw a bright line between what is human and what is machine, or risk upsetting the delicate balance between them.
Von Klappentext im Buch Machines of Loving Grace (2015) Kapitel
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Nicht erwähnte Begriffe | amazon, Chat-GPT, Digitalisierung, facebook, Generative Machine-Learning-Systeme (GMLS), Informatik-Didaktik, Informatik-Unterricht (Fachinformatik), Intelligenztest / IQ, iPad, Microsoft, Tablets in education |
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Zeitleiste
2 Erwähnungen
- Prediction Machines - The Simple Economics of Artificial Intelligence - Updated Edition (Ajay Agrawal, Joshua Gans, Avi Goldfarb) (2022)
- Power and Progress - Our Thousand-Year Struggle Over Technology and Prosperity (Daron Acemoglu, Simon Johnson) (2023)
Co-zitierte Bücher
The Race between Education and Technology
(Claudia Goldin) (2008)Volltext dieses Dokuments
Standorte
Bibliographisches
Beat und dieses Buch
Beat hat dieses Buch während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt ein physisches und ein digitales Exemplar. (das er aber aus Urheberrechtsgründen nicht einfach weitergeben darf). Es gibt bisher nur wenige Objekte im Biblionetz, die dieses Werk zitieren.