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Type Working Paper
Scope Discipline-based scholarship
Title Implementations in Machine Ethics: A Survey
Organization Unit
Authors
  • Suzanne Tolmeijer
  • Markus Kneer
  • Cristina Sarasua
  • Markus Christen
  • Abraham Bernstein
Language
  • English
Institution Cornell University
Series Name ArXiv.org
Number 07573
ISSN 2331-8422
Date 2020
Abstract Text 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.
Free access at Official URL
Official URL https://arxiv.org/abs/2001.07573
Other Identification Number merlin-id:20360
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