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Implementations in Machine Ethics A Survey


Tolmeijer, Suzanne; Kneer, Markus; Sarasua, Cristina; Christen, Markus; Bernstein, Abraham (2020). Implementations in Machine Ethics A Survey. ACM Computing Surveys, 53(6):Article 132.

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.

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
04 Faculty of Medicine > Institute of Biomedical Ethics and History of Medicine
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:December 2020
Deposited On:22 Jan 2021 07:49
Last Modified:21 Mar 2021 08:52
Publisher:Association for Computing Machinery
ISSN:0360-0300
OA Status:Hybrid
Free access at:Related URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3419633
Related URLs:https://dl.acm.org/doi/10.1145/3419633
Other Identification Number:merlin-id:20542

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