front cover of Intelligent Networks
Intelligent Networks
Principles and applications
John Anderson
The Institution of Engineering and Technology, 2002
This book explains how intelligence can be introduced into digital telephone networks. Beginning by outlining the basic principles of Intelligent Networks (IN), it tracks the application of the IN principle of separation of the service logic for advanced telephony services from the underlying call control infrastructures. The book explains how large public networks are updated to incorporate IN principles for advanced telephony services. This is illustrated using many practical examples which are set against a background of following the ETSI standards within the overall ITU-T framework of recommendations. This book is targeted at postgraduate telecommunications students, or engineers requiring a concise and practical introduction to IN.
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front cover of A Legal Theory for Autonomous Artificial Agents
A Legal Theory for Autonomous Artificial Agents
Samir Chopra and Laurence F. White
University of Michigan Press, 2011

“An extraordinarily good synthesis from an amazing range of philosophical, legal, and technological sources . . .  the book will appeal to legal academics and students, lawyers involved in e-commerce and cyberspace legal issues, technologists, moral philosophers, and intelligent lay readers interested in high tech issues, privacy, [and] robotics.”
—Kevin Ashley, University of Pittsburgh School of Law

As corporations and government agencies replace human employees with online customer service and automated phone systems, we become accustomed to doing business with nonhuman agents. If artificial intelligence (AI) technology advances as today’s leading researchers predict, these agents may soon function with such limited human input that they appear to act independently. When they achieve that level of autonomy, what legal status should they have?

Samir Chopra and Laurence F. White present a carefully reasoned discussion of how existing philosophy and legal theory can accommodate increasingly sophisticated AI technology. Arguing for the legal personhood of an artificial agent, the authors discuss what it means to say it has “knowledge” and the ability to make a decision. They consider key questions such as who must take responsibility for an agent’s actions, whom the agent serves, and whether it could face a conflict of interest.

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