Artificial Superintelligence: A Futuristic Approach, 1st Edition (Paperback) book cover

Artificial Superintelligence

A Futuristic Approach, 1st Edition

By Roman V. Yampolskiy

Chapman and Hall/CRC

227 pages | 6 B/W Illus.

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Description

A day does not go by without a news article reporting some amazing breakthrough in artificial intelligence (AI). Many philosophers, futurists, and AI researchers have conjectured that human-level AI will be developed in the next 20 to 200 years. If these predictions are correct, it raises new and sinister issues related to our future in the age of intelligent machines. Artificial Superintelligence: A Futuristic Approach directly addresses these issues and consolidates research aimed at making sure that emerging superintelligence is beneficial to humanity.

While specific predictions regarding the consequences of superintelligent AI vary from potential economic hardship to the complete extinction of humankind, many researchers agree that the issue is of utmost importance and needs to be seriously addressed. Artificial Superintelligence: A Futuristic Approach discusses key topics such as:

  • AI-Completeness theory and how it can be used to see if an artificial intelligent agent has attained human level intelligence
  • Methods for safeguarding the invention of a superintelligent system that could theoretically be worth trillions of dollars
  • Self-improving AI systems: definition, types, and limits
  • The science of AI safety engineering, including machine ethics and robot rights
  • Solutions for ensuring safe and secure confinement of superintelligent systems
  • The future of superintelligence and why long-term prospects for humanity to remain as the dominant species on Earth are not great

Artificial Superintelligence: A Futuristic Approach is designed to become a foundational text for the new science of AI safety engineering. AI researchers and students, computer security researchers, futurists, and philosophers should find this an invaluable resource.

Reviews

"Dr. Roman Yampolskiy is a tenured computer scientist at the University of Louisville. He has published over 100 papers and books on artificial intelligence, genetic algorithms, and behavioral biometrics. This is obviously a strong pedigree for a book about the subject of how to make sure that the arrival of superintelligence on the planet is an event that works out well for humans, which is probably the single most important challenge facing humanity this century.

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 that is many times smarter than its would-be controllers, and is an important contribution to a vital field."

—Calum Chace, Author of Surviving AI

"… 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, 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

Table of Contents

Preface

Acknowledgments

About the Author

AI-Completeness: The Problem Domain of Superintelligent Machines

Introduction

The Theory of AI-Completeness

Definitions

Turing Test as the First AI-Complete Problem

Reducing Other Problems to a TT

Other Probably AI-Complete Problems

First AI-Hard Problem: Programming

Beyond AI-Completeness

Conclusions

References

The Space of Mind Designs and the Human Mental Model

Introduction

Infinitude of Minds

Size, Complexity, and Properties of Minds

Space of Mind Designs

A Survey of Taxonomies

Mind Cloning and Equivalence Testing

Across Substrates

Conclusions

References

How to Prove You Invented Superintelligence So No One Else Can Steal It

Introduction and Motivation

Zero Knowledge Proof

Captcha

AI-Completeness

Supercaptcha

Conclusions

References

Wireheading, Addiction, and Mental Illness in Machines

Introduction

Wireheading in Machines

Sensory Illusions: A Form of Indirect Wireheading

Potential Solutions to the Wireheading Problem

Perverse Instantiation

Conclusions and Future Work

References

On the Limits of Recursively Self-Improving Artificially Intelligent Systems

Introduction

Taxonomy of Types of Self-Improvement

On the Limits of Recursively Self-Improving Artificially Intelligent Systems

Analysis

RSI Convergence Theorem

Conclusions

References

Singularity Paradox and What to Do About It

Introduction to the Singularity Paradox

Methods Proposed For Dealing with SP

Prevention from Development

Restricted Deployment

Incorporation into Society

Self-Monitoring

Indirect Solutions

Analysis of Solutions

Future Research Directions

Conclusions

References

Superintelligence Safety Engineering

Ethics and Intelligent Systems

Artificial Intelligence Safety Engineering

Grand Challenge

Artificial General Intelligence Research is Unethical

Robot Rights

Conclusions

References

Artificial Intelligence Confinement Problem (and Solution)

Introduction

Artificial Intelligence Confinement Problem

Hazardous Software

Critique of the Confinement Approach

Possible Escape Paths

Social Engineering Attacks

System Resource Attacks

Beyond Current Physics Attacks

Pseudoscientific Attacks

External Causes of Escape

Information In-Leaking

Critique of the AI-Boxing Critique

Countermeasures against Escape

Preventing Social Engineering Attacks

Preventing System Resource Attacks and Future Threat

Preventing External Causes of Escape

Preventing Information In-Leaking

AI Communication Security

How to Safely Communicate With a Superintelligence

Conclusions and Future Work

References

Efficiency Theory: A Unifying Theory for Information, Computation, and Intelligence

Introduction

Efficiency Theory

Information and Knowledge

Intelligence and Computation

Time and Space

Compressibility and Randomness

Oracles and Undecidability

Intractable and Tractable

Conclusions and Future Directions

References

Controlling the Impact of Future Superintelligence

Why I Wrote This Book

Machine Ethics Is a Wrong Approach

Can the Problem Be Avoided?

References

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).

Subject Categories

BISAC Subject Codes/Headings:
COM012040
COMPUTERS / Programming / Games
COM037000
COMPUTERS / Machine Theory
MAT025000
MATHEMATICS / Recreations & Games
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General