Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Pan Macmillan, United Kingdom, London, 2021
ISBN 10: 1529077621 ISBN 13: 9781529077629
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 35,60
Anzahl: 3 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. ONE OF THE SUNDAY TIMES' BUSINESS BOOKS OF THE YEAR Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally bestselling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than thirty years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. By 2049 AI will be a billion times more intelligent than humans. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love and the planet itself. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: Buchpark, Trebbin, Deutschland
EUR 11,91
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: Hervorragend. Zustand: Hervorragend | Seiten: 338 | Sprache: Englisch | Produktart: Bücher | There has never been a time when the risk of technology ruining our humanity has been bigger. This book is not for the engineers that write the code, the policy makers who claim they can regulate it or the experts that keep creating the buzz around it. They all know what I'm about to tell you. This is a book for you. Because, believe it or not, you are the only one that can fix it' Mo GawdatNo one is better placed than Mo Gawdat to explain how the technology of the future works, how it could be designed to work against us and what we can do to change that. The internationally bestselling author of Solve for Happy and former chief business officer of Google X (the 'moonshot' innovation arm of Google) with more than thirty years' experience working at the cutting-edge of technology, turns his attention to cyber innovation; what it gets right and the many, many things it gets wrong.Artificial intelligence is already smarter than humans in many ways, but, like so much of life, the output is designed by the input, with automated algorithms reflecting an imperfect world. So, how can we change that? In Scary Smart, Mo Gawdat draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better.