
Machine Ethics
by Edited by Michael Anderson , Susan Leigh Anderson-
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Summary
Author Biography
Table of Contents
General Introduction | p. 1 |
The Nature | |
Introduction | p. 7 |
The Nature, Importance, and Difficulty of Machine Ethics | p. 13 |
Machine Metaethics | p. 21 |
Ethics for Machines | p. 28 |
The Importance of Machine Ethics | |
Introduction | p. 47 |
Why Machine Ethics? | p. 51 |
Authenticity in the Age of Digital Companions | p. 62 |
Issues Concerning Machine Ethics | |
Introduction | p. 79 |
What Matters to a Machine? | p. 88 |
Machine Ethics and the Idea of a More-Than-Human Moral World | p. 115 |
On Computable Morality: An Examination of Machines as Moral Advisors | p. 138 |
When Is a Robot a Moral Agent? | p. 151 |
Philosophical Concerns with Machine Ethics | p. 162 |
Computer Systems: Moral Entities but Not Moral Agents | p. 168 |
On the Morality of Artificial Agents | p. 184 |
Legal Rights for Machines: Some Fundamental Concepts | p. 2213 |
Approaches to Machine Ethics | |
Introduction | p. 231 |
Overview | |
Towards the Ethical Robot | p. 244 |
Asimov's Laws | |
Asimov's Laws of Robotics: Implications for Information Technology | p. 254 |
The Unacceptability of Asimov's Three Laws of Robotics as a Basis for Machine Ethics | p. 285 |
Artificial Intelligence Approaches | |
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions | |
Computational Neural Modeling and the Philosophy of Ethics: Reflections on the Particularism-Generalism Debate | p. 316 |
Architectures and Ethics for Robot: Constraint Satisfaction as a Unitary design Framework | p. 335 |
Piagetian Roboethics via Category Theory: Moving beyond Mere Formal Operations to Engineer Robots Whose Decisions Are Guaranteed to be Ethically Correct | p. 361 |
Ethical Protocols Design | p. 375 |
Modeling Morality with Prospective Logic | p. 398 |
An Integrated Reasoning Approach to Moral decision Making | p. 422 |
Prototyping N- Reason: A Computer Mediated Ethics Machine | p. 442 |
Philosophical Approaches | |
There Is No "I" in "Robot": Robots and Utilitarianism | p. 451 |
Prospects for a Kantian Machine | p. 464 |
A Prima Facie Duty Approach to Machine Ethics: Machine Learning of Features of Ethical Dilemmas, Prima Facie Duties, and Decision Principles through a Dialogue with Ethicists | p. 476 |
Visions for Machine Ethics | |
Introduction | p. 495 |
What Can AI Do for Ethics? | p. 499 |
Ethics for Self-Improving Machines | p. 512 |
How Machines Might Help Us Achieve Breakthroughs in Ethical Theory and Inspire Us to Behave Better | p. 524 |
Home Sapiens 2.0: Building the Better Robots of Our Nature | p. 531 |
Table of Contents provided by Ingram. All Rights Reserved. |
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