
The Myth of Artificial Intelligence
Why Computers Canāt Think the Way We Do
- English
- PDF
- Available on iOS & Android
About this book
"Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it." āJohn Horgan
"If you want to know about AI, read this bookā¦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." āPeter 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 superintelligenceāand 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 achieveā¦Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity."
āDavid A. Shaywitz, Wall Street Journal
"A convincing case that artificial general intelligenceāmachine-based intelligence that matches our ownāis beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know."
āSue Halpern, New York Review of Books
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Dedication
- Contents
- Introduction
- Part I: THE SIMPLIFIED WORLD
- Part II: THE PROBLEM OF INFERENCE
- Part III: THE FUTURE OF THE MYTH
- Notes
- Acknowledgments
- Index