English

Implementations in Machine Ethics: A Survey

Artificial Intelligence 2021-01-25 v2

Abstract

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and description of relevant works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested.

Keywords

Cite

@article{arxiv.2001.07573,
  title  = {Implementations in Machine Ethics: A Survey},
  author = {Suzanne Tolmeijer and Markus Kneer and Cristina Sarasua and Markus Christen and Abraham Bernstein},
  journal= {arXiv preprint arXiv:2001.07573},
  year   = {2021}
}

Comments

published version, journal paper, ACM Computing Surveys, 38 pages, 7 tables, 4 figures