Risks of Artificial Intelligence
If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory.

Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals.

The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence, followed by a discussion (Armstrong/Sokala/Óhéigeartaigh) on how predictions of its future have fared to date.

Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity, or a useful tool? Ways to assure beneficial outcomes through ‘machine ethics’ and ‘utility functions’ are discussed by Brundage and Yampolskiy.

B. Goertzel and Potapov/Rodionov propose ‘learning’ and ‘empathy’ as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the ‘fast takeoff’ of artificial intelligence and, finally, Bishop explains why there is no need to worry because computers will remain in a state of ‘artificial stupidity’.

Sharing insights from leading thinkers in artificial intelligence, this book provides you with an expert-level perspective of what is on the horizon for AI, whether it will be a threat for humanity, and how we might counteract this threat.

1137104243
Risks of Artificial Intelligence
If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory.

Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals.

The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence, followed by a discussion (Armstrong/Sokala/Óhéigeartaigh) on how predictions of its future have fared to date.

Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity, or a useful tool? Ways to assure beneficial outcomes through ‘machine ethics’ and ‘utility functions’ are discussed by Brundage and Yampolskiy.

B. Goertzel and Potapov/Rodionov propose ‘learning’ and ‘empathy’ as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the ‘fast takeoff’ of artificial intelligence and, finally, Bishop explains why there is no need to worry because computers will remain in a state of ‘artificial stupidity’.

Sharing insights from leading thinkers in artificial intelligence, this book provides you with an expert-level perspective of what is on the horizon for AI, whether it will be a threat for humanity, and how we might counteract this threat.

59.99 In Stock
Risks of Artificial Intelligence

Risks of Artificial Intelligence

by Vincent C. Müller (Editor)
Risks of Artificial Intelligence

Risks of Artificial Intelligence

by Vincent C. Müller (Editor)

Paperback

$59.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory.

Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals.

The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence, followed by a discussion (Armstrong/Sokala/Óhéigeartaigh) on how predictions of its future have fared to date.

Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity, or a useful tool? Ways to assure beneficial outcomes through ‘machine ethics’ and ‘utility functions’ are discussed by Brundage and Yampolskiy.

B. Goertzel and Potapov/Rodionov propose ‘learning’ and ‘empathy’ as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the ‘fast takeoff’ of artificial intelligence and, finally, Bishop explains why there is no need to worry because computers will remain in a state of ‘artificial stupidity’.

Sharing insights from leading thinkers in artificial intelligence, this book provides you with an expert-level perspective of what is on the horizon for AI, whether it will be a threat for humanity, and how we might counteract this threat.


Product Details

ISBN-13: 9780367575182
Publisher: CRC Press
Publication date: 06/30/2020
Pages: 302
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Vincent C. Müller’s research focuses on the nature and future of computational systems, particularly on the prospects and dangers of artificial intelligence. He is the president of the European Association for Cognitive Systems and was the coordinator of the European Network for Cognitive Systems, Robotics and Interaction, which has nearly 1000 members and is funded by the European Commission through two FP7 projects worth €3.9 million over 2009–2014 (www.eucognition.org). He organizes a conference series, Theory and Philosophy of AI (www.pt-ai.org), and is the principal investigator of a European Commission–funded research project Digital DIY. He is currently working as professor of philosophy, Division of Humanities & Social Sciences, Anatolia College/ACT, Pylaia-Thessaloniki, Greece.

Table of Contents

Editor vii

Contributors ix

Chapter 1 Editorial: Risks of Artificial Intelligence Vincent C. Müller 1

Chapter 2 Autonomous Technology and the Greater Human Good Steve Omohundro 9

Chapter 3 Errors, Insights, and Lessons of Famous Artificial Intelligence Predictions: And What They Mean for the Future Stuart Armstrong Kaj Sotala Sean S. ÓhÉigeartaigh 29

Chapter 4 Path to More General Artificial Intelligence Ted Goertzel 69

Chapter 5 Limitations and Risks of Machine Ethics Miles Brundage 87

Chapter 6 Utility Function Security in Artificially Intelligent Agents Roman V. Yampolskiy 115

Chapter 7 Goal-Oriented Learning Meta-Architecture: Toward an Artificial General Intelligence Meta-Architecture Enabling Both Goal Preservation and Radical Self-Improvement Ben Goertzel 141

Chapter 8 Universal Empathy and Ethical Bias for Artificial General Intelligence Alexey Potapov Sergey Rodionov 161

Chapter 9 Bounding the Impact of Artificial General Intelligence András Kornai 179

Chapter 10 Ethics of Brain Emulations Anders Sandberg 213

Chapter 11 Long-Term Strategies for Ending Existential Risk from Fast Takeoff Daniel Dewey 243

Chapter 12 Singularity, or How I Learned to Stop Worrying and Love Artificial Intelligence J. Mark Bishop 267

Index 281

From the B&N Reads Blog

Customer Reviews