Risks of Artificial Intelligence: 1st Edition (Hardback) book cover

Risks of Artificial Intelligence

1st Edition

Edited by Vincent C. Müller

Chapman and Hall/CRC

292 pages | 30 B/W Illus.

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Hardback: 9781498734820
pub: 2015-12-10
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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.

Table of Contents

Editorial: Risks of Artificial Intelligence

Vincent C. Müller

Autonomous Technology and the Greater Human Good

Steve Omohundro

Errors, Insights, and Lessons of Famous Artificial Intelligence Predictions: And What They Mean for the Future

Stuart Armstrong, Kaj Sotala, and Seán S. ÓhÉigeartaigh

Path to More General Artificial Intelligence

Ted Goertzel

Limitations and Risks of Machine Ethics

Miles Brundage

Utility Function Security in Artificially Intelligent Agents

Roman V. Yampolskiy

Goal-Oriented Learning Meta-Architecture: Toward an Artificial General Intelligence Meta-Architecture Enabling Both Goal Preservation and Radical Self-Improvement

Ben Goertzel

Universal Empathy and Ethical Bias for Artificial General Intelligence

Alexey Potapov and Sergey Rodionov

Bounding the Impact of Artificial General Intelligence

András Kornai

Ethics of Brain Emulations

Anders Sandberg

Long-Term Strategies for Ending Existential Risk from Fast Takeoff

Daniel Dewey

Singularity, or How I Learned to Stop Worrying and Love Artificial Intelligence

J. Mark Bishop

About the Editor

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.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Programming / Games
COMPUTERS / Machine Theory
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TECHNOLOGY & ENGINEERING / Electronics / General