Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World

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By Gawdat Mo

Paperback – English

ISBN: 1529077621
EAN: 9781529077629
Publisher: PAN MACMILLAN
Publication Date: 30/09/2021
Pages: 338
Dimension: 23.39cm x 15.60cm x 1.78cm
Age Group: NA to NA
Grades: Not Applicable to Not Applicable
Lexile Level: 0
Award: –
About Author: –

Categories:

Computers – Artificial Intelligence – General
Computers – Social
Computers – Future Studies



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By Gawdat Mo

Paperback – English

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.

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