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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. ArXiv.org 07573, Cornell University.

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.

Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scope:Discipline-based scholarship (basic research)
Language:English
Date:October 2020
Deposited On:19 Jan 2021 08:28
Last Modified:27 May 2024 15:23
Series Name:ArXiv.org
ISSN:2331-8422
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:https://arxiv.org/abs/2001.07573
Other Identification Number:merlin-id:20360
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