The Myth Of Artificial Intelligence
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The Myth of Artificial Intelligence
“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
Summary of Erik J. Larson's The Myth of Artificial Intelligence
Author: Everest Media,
language: en
Publisher: Everest Media LLC
Release Date: 2022-06-09T22:59:00Z
Please note: This is a companion version & not the original book. Sample Book Insights: #1 The story of artificial intelligence begins with the ideas of computer pioneer Alan Turing. In 1950, he published a paper titled Computing Machinery and Intelligence, which argued that any computer that could hold a conversation with a human would be doing something that requires thinking. #2 Turing had made his reputation as a mathematician long before he began writing about artificial intelligence. In 1936, he published a paper on the precise meaning of computer, which at the time referred to a person working through a sequence of steps to get a definite result. #3 The idea that the mind’s intuition, its ability to grasp truth and meaning, is reducible to a machine was raised by Gödel in 1931. He proved that there must exist some statements in any formal system that are True, with capital-T standing, yet not provable in the system itself using any of its rules. #4 The formalist movement in mathematics was a sign of a broader turn by intellectuals toward scientific materialism. They believed that all of mathematics could be converted into rule-based operations, and that the world was turning to the idea of precision machines.
Myth in AI
Unveils the myth of artificial intelligence via a step by step explanation of the mayor, applied approaches. Each approach is summarized in an easy and compact manner, referring external resources for a further deep dive. The target groups are managers, intermediate data scientists, and all have to implement a data-driven (business) strategy.