The myth of artificial intelligence : why computers can't think the way we do Erik J Larson

Summary: Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. 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 sooon 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. -- adapted from back cover.

Record details

ISBN: 0674278666
ISBN: 9780674278660
Physical Description: viii, 312 pages ; 21 cm
print
Edition: First Harvard University Press paperback edition.
Publisher: Cambridge, Massachusetts : The Belknap Press of Harvard University Press, 2022.
Copyright: ©2021

Content descriptions

Bibliography, etc. Note:

Includes bibliographical references and index.

Formatted Contents Note:

Part One. The simplified world: The intelligence errors -- Turing at Bletchley -- The superintelligence error -- The singularity, then and now -- Natural language understanding -- AI as technological kitsch -- Simplifications and mysteries -- Part Two. The problem of inference: Don't calculate, analyze -- The puzzle of Peirce (and Peirce's Puzzle) -- Problems with deduction and induction -- Machine learning and big data -- Abductive inference -- Inference and language I -- Inference and language II -- Part Three. The future of the myth: Myths and heroes -- AI mythology invades neuroscience -- Neocortical theories of human intelligence -- The end of science?