AAAI Publications, Twenty-Eighth AAAI Conference on Artificial Intelligence

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GenEth: A General Ethical Dilemma Analyzer
Michael Anderson, Susan Leigh Anderson

Last modified: 2014-06-19

Abstract


We contend that ethically significant behavior of autonomous systems should be guided by explicit ethical principles determined through a consensus of ethicists. To provide assistance in developing these ethical principles, we have developed GenEth, a general ethical dilemma analyzer that, through a dialog with ethicists, codifies ethical principles in any given domain. GenEth has been used to codify principles in a number of domains pertinent to the behavior of autonomous systems and these principles have been verified using an Ethical Turing Test.

Keywords


machine ethics; application; machine learning; inductive logic programming

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