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Risks of Artificial Intelligence [Kõva köide]

Edited by (University of Oxford, UK and American College of Thessaloniki/Anatolia College, Greece)
  • Formaat: Hardback, 302 pages, kõrgus x laius: 234x156 mm, kaal: 566 g, 30 Illustrations, black and white
  • Ilmumisaeg: 10-Dec-2015
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1498734820
  • ISBN-13: 9781498734820
Teised raamatud teemal:
  • Formaat: Hardback, 302 pages, kõrgus x laius: 234x156 mm, kaal: 566 g, 30 Illustrations, black and white
  • Ilmumisaeg: 10-Dec-2015
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1498734820
  • ISBN-13: 9781498734820
Teised raamatud teemal:
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.
Editor vii
Contributors ix
Chapter 1 Editorial: Risks of Artificial Intelligence
1(8)
Vincent C. Muller
Chapter 2 Autonomous Technology and the Greater Human Good
9(20)
Steve Omohundro
Chapter 3 Errors, Insights, and Lessons of Famous Artificial Intelligence Predictions: And What They Mean for the Future
29(40)
Stuart Armstrong
Kaj Sotala
Sean S. Oheigeartaigh
Chapter 4 Path to More General Artificial Intelligence
69(18)
Ted Goertzel
Chapter 5 Limitations and Risks of Machine Ethics
87(28)
Miles Brundage
Chapter 6 Utility Function Security in Artificially Intelligent Agents
115(26)
Roman V. Yampolskiy
Chapter 7 Goal-Oriented Learning Meta-Architecture: Toward an Artificial General Intelligence Meta-Architecture Enabling Both Goal Preservation and Radical Self-Improvement
141(20)
Ben Goertzel
Chapter 8 Universal Empathy and Ethical Bias for Artificial General Intelligence
161(18)
Alexey Potapov
Sergey Rodionov
Chapter 9 Bounding the Impact of Artificial General Intelligence
179(34)
Andras Kornai
Chapter 10 Ethics of Brain Emulations
213(30)
Anders Sandberg
Chapter 11 Long-Term Strategies for Ending Existential Risk from Fast Takeoff
243(24)
Daniel Dewey
Chapter 12 Singularity, or How I Learned to Stop Worrying and Love Artificial Intelligence
267(14)
J. Mark Bishop
Index 281
Vincent C. Müllers 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 20092014 (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 Commissionfunded research project Digital DIY. He is currently working as professor of philosophy, Division of Humanities & Social Sciences, Anatolia College/ACT, Pylaia-Thessaloniki, Greece.