ML Anthology

GenEth: A General Ethical Dilemma Analyzer

Michael Anderson, Susan Leigh Anderson
AAAI 2014 pp. 253-261
doi:10.1609/AAAI.V28I1.8737 /aaai/2014/anderson2014aaai-geneth/

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.

PDF AAAI Semantic Scholar

Cite

Text

Anderson and Anderson. "GenEth: A General Ethical Dilemma Analyzer." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I1.8737

Markdown

[Anderson and Anderson. "GenEth: A General Ethical Dilemma Analyzer." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/anderson2014aaai-geneth/) doi:10.1609/AAAI.V28I1.8737

BibTeX

@inproceedings{anderson2014aaai-geneth,
  title     = {{GenEth: A General Ethical Dilemma Analyzer}},
  author    = {Anderson, Michael and Anderson, Susan Leigh},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {253-261},
  doi       = {10.1609/AAAI.V28I1.8737},
  url       = {https://mlanthology.org/aaai/2014/anderson2014aaai-geneth/}
}