Solomon's Code: Humanity in a World of Thinking Machines
Groth, Olaf; Nitzberg, Mark
ISBN 10: 168177870X ISBN 13: 9781681778709
Editore: Pegasus Books, 2018
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Descrizione:
Fast Free Shipping â Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included. Codice articolo GWV.168177870X.G
Riassunto:
A thought-provoking examination of artificial intelligence and how it reshapes human values, trust, and power around the world.
Whether in medicine, money, or love, technologies powered by forms of artificial intelligence are playing an increasingly prominent role in our lives. As we cede more decisions to thinking machines, we face new questions about staying safe, keeping a job and having a say over the direction of our lives. The answers to those questions might depend on your race, gender, age, behavior, or nationality.
New AI technologies can drive cars, treat damaged brains and nudge workers to be more productive, but they also can threaten, manipulate, and alienate us from others. They can pit nation against nation, but they also can help the global community tackle some of its greatest challenges—from food crises to global climate change.
In clear and accessible prose, global trends and strategy adviser Olaf Groth, AI scientist and social entrepreneur Mark Nitzberg, along with seasoned economics reporter Dan Zehr, provide a unique human-focused, global view of humanity in a world of thinking machines.
Informazioni sull?autore:
Olaf Groth is a Professor and Program Director for Digital Futures at Hult International Business School. He is the founder and CEO of Emergent Frontiers Group and Cambrian AI, a member of the Global Expert Network at the World Economic Forum. Olaf has written for the Harvard Business Review, HBR France, Financial Times, and more.
Mark Nitzberg serves as Executive Director of the Center for Human Compatible Artificial Intelligence at University of California at Berkeley. Mark studied AI at M.I.T. and completed his Ph.D. at Harvard University. Most recently he was Director, Computer Vision Products at A9/Amazon.
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Dati bibliografici
Titolo: Solomon's Code: Humanity in a World of ...
Casa editrice: Pegasus Books
Data di pubblicazione: 2018
Legatura: Rilegato
Condizione: good
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Solomon's Code: Humanity in a World of Thinking Machines
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hardcover. Condizione: Acceptable. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. Codice articolo mon0001305815
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Solomon's Code
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Hardcover. Condizione: Fine. Leichte Risse; Gebogener Buchrucken; Farbveranderung durch Alter/Sonne. A thought-provoking examination of artificial intelligence and how it reshapes human values, trust, and power around the world. Whether in medicine, money, or love, technologies powered by forms of artificial intelligence are playing an increasingly prominent role in our lives. As we cede more decisions to thinking machines, we face new questions about staying safe, keeping a job and having a say over the direction of our lives. The answers to those questions might depend on your race, gender, age, behavior, or nationality. New AI technologies can drive cars, treat damaged brains and nudge workers to be more productive, but they also can threaten, manipulate, and alienate us from others. They can pit nation against nation, but they also can help the global community tackle some of its greatest challenges--from food crises to global climate change. In clear and accessible prose, global trends and strategy adviser Olaf Groth, AI scientist and social entrepreneur Mark Nitzberg, along with seasoned economics reporter Dan Zehr, provide a unique human-focused, global view of humanity in a world of thinking machines. Codice articolo f4485f41-ce54-4ca6-a2ea-0b8c94e1c8cb
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