Risks of Artificial Intelligence

Herausgeber: Müller, Vincent C

• Gebundenes Buch

Produktbeschreibung

Featuring contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books 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 AI research, including the risks and future impacts. Ethical issues in AI are covered extensively along with an exploration of autonomous technology and its impact on humanity.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 302
• Erscheinungstermin: 10. Dezember 2015
• Englisch
• Abmessung: 234mm x 155mm x 20mm
• Gewicht: 567g
• ISBN-13: 9781498734820
• ISBN-10: 1498734820
• Artikelnr.: 42800537

Autorenporträt

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 EUR3.9 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.

Inhaltsangabe

Editorial: Risks of Artificial Intelligence. Autonomous Technology and the
Greater Human Good. Errors, Insights, and Lessons of Famous Artificial
Intelligence Predictions. Path to More General Artificial Intelligence.
Limitations and Risks of Machine Ethics. Utility Function Security in
Artificially Intelligent Agents. Goal-Oriented Learning Meta-Architecture.
Universal Empathy and Ethical Bias for Artificial General Intelligence.
Bounding the Impact of Artificial General Intelligence. Ethics of Brain
Emulations. Long-Term Strategies for Ending Existential Risk from Fast
Takeoff. Singularity, or How I Learned to Stop Worrying and Love Artificial
Intelligence.