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Mastering AI: a survival guide to our superpowered future


Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising.

But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening.

Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next.


Availability
#
Sekolah Cikal Serpong (000) 006 KAH m
SRP06802A
Available
Detail Information
Series Title
-
Call Number
006 KAH m
Publisher
New York : Bedford Square., 2024
Collation
326 p. ; ill. ; 20 cm
Language
English
ISBN/ISSN
9781835010600
Classification
000
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Computer
Technology
Intelligence
Computer Science
Artificial intelligence
Machine learning
Semantics
Specific Detail Info
-
Statement of Responsibility
-
Other Information
Level
High School
Book Segment
Select -- Reading for pleasure -- Program Reference
Reading Level
Independent
Other version/related

No other version available

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No Data
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