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Artificial Superintelligence: A Futuristic Approach Paperback – June 19, 2015
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"... a very interesting book. Crammed into some 200 pages, index included, the book tries to establish a method of measuring progress in artificial intelligence (AI) by creating an AI analogy to the work of Stephen Cook and others in computational complexity. Specifically, the book introduces the author's concepts of AI-complete and AI-hard as analogies to the computational complexity categories of NP-complete and NP-hard. Yampolskiy (Univ. of Louisville) makes his case in just ten chapters. Chapter 1 introduces the topic of AI-Completeness. Chapters 2 through 8 elaborate the details of the author's vision of superintelligences. Chapter 9, 'Efficiency Theory: A Unifying Theory for Information, Computation, and Intelligence,' brings together the diversity of issues presented in the earlier chapters and does a good job of unifying the book. Yampolskiy presents his thoughts on AI's future in the final chapter. Each chapter includes an impressive collection of references, and the text has a healthy index. In general, this work should interest researchers in both AI and computational complexity. Readers may also wish to consult Nick Bostrom's Superintelligence (CH, Mar'15, 52-3620). Summing up: Highly recommended. Upper-division undergraduates through professionals/practitioners."
―J. Beidler, University of Scranton, Pennsylvania, USA, for CHOICE, March 2016
"Concerns over the existential risks of artificial superintelligence have spawned multiple vectors of research and development into specification, validation, security, and control. Roman Yampolskiy’s Artificial Superintelligence: A Futuristic Approach reviews the relevant literature and stakes out the territory of AI safety engineering. Specifically, Yampolskiy advocates formal approaches to characterizing AIs and systematic confinement of superintelligent AIs. Serious students of AI and artificial general intelligence should study this work, and consider its recommendations."
―Neil Jacobstein, Chair, AI and Robotics, Singularity University at NASA Research Park, and Distinguished Visiting Scholar, MediaX Program at Stanford University
"There are those of us who philosophize and debate the finer points surrounding the dangers of artificial intelligence (AI). And then there are those who dare go in the trenches and get their hands dirty by doing the actual work that may just end up making the difference. So if AI turns out to be like the terminator then Prof. Roman Yampolskiy may turn out to be like John Connor―but better. Because instead of fighting by using guns and brawn, he is utilizing computer science, human intelligence, and code."
―Nikola Danaylov, SingularityWeblog.com, September 7, 2015
"In his new book Artificial Superintelligence, Yampolsky argues for addressing AI potential dangers with a safety engineering approach, rather than with loosely defined ethics, since human values are inconsistent and dynamic. … Yampolsky acknowledges the concern of AI escaping confines and takes the reader on a tour of AI taxonomies with a general overview of the field of Intelligence … Yampolsky proposes initiation of an AI hazard symbol, which could prove useful for constraining AI to designated containment areas … For readers intrigued in what safe variety of AI might be possible, the section of Artificial Superintelligence early in the book will be of great interest."
―Cynthia Sue Larson, RealityShifters Blog, September 1, 2015
"… the hot topic that seems to have come straight from science fiction ... vigorous academic analysis pursued by the author produced an awesome textbook that should attract everyone’s attention: from high school to graduate school students to professionals."
―Leon Reznik, Professor of Computer Science, Rochester Institute of Technology
"This new book by Roman Yampolskiy is truly futuristic. I have had the chance to see some of his previous works, and this one is his best so far. Not to be missed by anyone really interested in artificial intelligence and the future of humanity. This book is a tour-de-force with deep insights into artificial intelligence and the future by one of the young experts in this fascinating field."
―Jose Cordeiro, Director, The Millennium Project, Venezuela Node
About the Author
Roman V. Yampolskiy holds a PhD from the Department of Computer Science and Engineering at the University at Buffalo (Buffalo, NY). There, he was a recipient of a four-year National Science Foundation (NSF) Integrative Graduate Education and Research Traineeship (IGERT) fellowship. Before beginning his doctoral studies, Dr. Yampolskiy received a BS/MS (High Honors) combined degree in computer science from the Rochester Institute of Technology in New York State.
Dr. Yampolskiy’s main areas of interest are behavioral biometrics, digital forensics, pattern recognition, genetic algorithms, neural networks, artificial intelligence, and games. Dr. Yampolskiy is an author of over 100 publications, including multiple journal articles and books. His research has been cited by numerous scientists and profiled in popular magazines, both American and foreign (New Scientist, Poker Magazine, Science World Magazine), dozens of websites (BBC, MSNBC, Yahoo! News), and on radio (German National Radio, Alex Jones Show).
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Top Customer Reviews
I also appreciated the comprehensive references on every page, which really lets someone new to the field get caught up rather quickly. I also loved how this books tries to bring more computer scientists into the conversation.
My only critique is how the author's personal fears sometimes leak into the main text. While editorial views are common place in most books, I thought it felt out of place in this otherwise scholarly work.
Yampolskiy’s preference for a safety engineering approach over an ethics approach to the Friendly AI problem is refreshing. The book faces up squarely to the immense difficulty of controlling an entity which is many times smarter than its would-be controllers, and is an important contribution to a vital field.
In Artificial Superintelligence, Yampolskiy argues for addressing AI potential dangers with a safety engineering approach, rather than with loosely defined ethics, since human values are inconsistent and dynamic. Yampolskiy points out that "fully autonomous machines cannot ever be assumed to be safe," and going so far as adding, "... and so should not be constructed." (p 186)
Yampolskiy acknowledges the concern of AI escaping confines, and takes the reader on a tour of AI taxonomies with a general overview of the field of Intelligence, showing a Venn type diagram (p 30) in which 'human minds' and 'human designed AI' occupy adjacent real estate on this nonlinear terrain of 'minds in general' in multidimensional super space. 'Self-improving minds' are envisioned which improve upon 'human designed AI,' and at this very juncture arises the potential for 'universal intelligence,' and the Singularity Paradox (SP) problem.
Yampolskiy proposes initiation of an AI hazard symbol, which could prove useful for constraining AI to designated containment areas, in J.A.I.L. or 'Just for A.I. Location.' Part of Yampolskiy's proposed solution to the AI Confinement Problem includes asking 'safe questions' (p 137).Read more ›
I had hoped for an analysis that reflected a strong understanding of which software approaches were most likely to work. Yampolskiy knows something about computer science, but doesn't strike me as someone with experience at writing useful code. His claim that "to increase their speed [AIs] will attempt to minimize the size of their source code" sounds like a misconception that wouldn't occur to an experienced programmer. And his chapter "How to Prove You Invented Superintelligence So No One Else Can Steal It" seems like a cute game that someone might play with if he cared more about passing a theoretical computer science class than about, say, making money on the stock market, or making sure the superintelligence didn't destroy the world.
I'm still puzzling over some of his novel suggestions for reducing AI risks. How would "convincing robots to worship humans as gods" differ from the proposed Friendly AI? Would such robots notice (and resolve in possibly undesirable ways) contradictions in their models of human nature?
Other suggestions are easy to reject, such as hoping AIs will need us for our psychokinetic abilities.
The style is also weird. Some chapters were previously published as separate papers, and weren't adapted to fit together. It was annoying to occasionally see sentences that seemed identical to ones in a prior chapter.
The author even has strange ideas about what needs footnoting. E.g. when discussing the physical limits to intelligence, he cites (Einstein 1905).
Only read this if you've read other authors on this subject first (such as Bostrom).
Most Recent Customer Reviews
Highly recommend this excellent book to anyone interested in AI. I enjoyed reading it all, cover-to-cover.Published 9 months ago by Boris F.
I am interested in the field, and have been doing lots of reading recently. I found the book to be informative, well researched, and overall, pleasant to read.Published 10 months ago by Karen M.
Either there isn't much yet done on the science of AI safety, or this review is a bit cursory. Feels like speculation and philosophy rather than useful results for computer... Read morePublished 10 months ago by William Link
Absolutely fantastic, in-depth insight into ai - Artificial Superintelligence - today, tomorrow, and what's coming do quickly. Have loved every page. Read morePublished 10 months ago by Katie Elizabeth
Excellent book! Well researched and extremely insightful. A must-read on the subject of AI.Published 11 months ago by Denis G Rozin