Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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The Myth of Artificial Intelligence - Why Computers Can't Think the Way We Do (Paperback)
Loot Price: R440
Discovery Miles 4 400
You Save: R118
(21%)
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The Myth of Artificial Intelligence - Why Computers Can't Think the Way We Do (Paperback)
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Was R558
Loot Price R440
Discovery Miles 4 400
You Save R118 (21%)
Expected to ship within 12 - 17 working days
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"Exposes the vast gap between the actual science underlying AI and
the dramatic claims being made for it." -John Horgan "If you want
to know about AI, read this book...It shows how a supposedly
futuristic reverence for Artificial Intelligence retards progress
when it denigrates our most irreplaceable resource for any future
progress: our own human intelligence." -Peter Thiel Ever since Alan
Turing, AI enthusiasts have equated artificial intelligence with
human intelligence. A computer scientist working at the forefront
of natural language processing, Erik Larson takes us on a tour of
the landscape of AI to reveal why this is a profound mistake. AI
works on inductive reasoning, crunching data sets to predict
outcomes. But humans don't correlate data sets. We make
conjectures, informed by context and experience. And we haven't a
clue how to program that kind of intuitive reasoning, which lies at
the heart of common sense. Futurists insist AI will soon eclipse
the capacities of the most gifted mind, but Larson shows how far we
are from superintelligence-and what it would take to get there.
"Larson worries that we're making two mistakes at once, defining
human intelligence down while overestimating what AI is likely to
achieve...Another concern is learned passivity: our tendency to
assume that AI will solve problems and our failure, as a result, to
cultivate human ingenuity." -David A. Shaywitz, Wall Street Journal
"A convincing case that artificial general
intelligence-machine-based intelligence that matches our own-is
beyond the capacity of algorithmic machine learning because there
is a mismatch between how humans and machines know what they know."
-Sue Halpern, New York Review of Books
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