Reprogramming the American Dream From Rural America to Silicon Valley - Making AI Serve Us All
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- Englisch ausgewählt
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Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
07.04.2020
Verlag
HarperCollins USSeitenzahl
304
Maße (L/B/H)
23,6/15,8/3,5 cm
Gewicht
452 g
Sprache
Englisch
ISBN
978-0-06-287987-5
** #1 Wall Street Journal Bestseller **
In this essential book written by a rural native and Silicon Valley veteran, Microsoft’s Chief technology officer tackles one of the most critical issues facing society today: the future of artificial intelligence and how it can be realistically used to promote growth, even in a shifting employment landscape.
There are two prevailing stories about AI: for heartland low- and middle-skill workers, a dystopian tale of steadily increasing job destruction; for urban knowledge workers and the professional class, a utopian tale of enhanced productivity and convenience. But there is a third way to look at this technology that will revolutionize the workplace and ultimately the world. Kevin Scott argues that AI has the potential to create abundance and opportunity for everyone and help solve some of our most vexing problems.
As the chief technology officer at Microsoft, he is deeply involved in the development of AI applications, yet mindful of their potential impact on workers—knowledge he gained firsthand growing up in rural Virginia. Yes, the AI Revolution will radically disrupt economics and employment for everyone for generations to come. But what if leaders prioritized the programming of both future technology and public policy to work together to find solutions ahead of the coming AI epoch? Like public health, the space program, climate change and public education, we need international understanding and collaboration on the future of AI and work. For Scott, the crucial question facing all of us is this: How do we work to ensure that the continued development of AI allows us to keep the American Dream alive?
In this thoughtful, informed guide, he offers a clear roadmap to find the answer.
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