GenEth: A General Ethical Dilemma Analyzer

Authors

  • Michael Anderson University of Hartford
  • Susan Anderson University of Connecticut

DOI:

https://doi.org/10.1609/aaai.v28i1.8737

Keywords:

machine ethics, application, machine learning, inductive logic programming

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.

AAAI 2014 Proceedings Cover

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Published

2014-06-19

How to Cite

Anderson, M., & Anderson, S. (2014). GenEth: A General Ethical Dilemma Analyzer. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.8737

Issue

Vol. 28 No. 1 (2014): Twenty-Eighth AAAI Conference on Artificial Intelligence

Section

AAAI Technical Track: Applications