Publication:

Implementations in Machine Ethics A Survey

Date

Date

Date
2020
Journal Article
Published version

Citations

Citation copied

Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020). Implementations in Machine Ethics A Survey. ACM Computing Surveys, 53(6), Article 132. https://doi.org/10.1145/3419633

Abstract

Abstract

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 descrip

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
53

Number

Number

Number
6

Page range/Item number

Page range/Item number

Page range/Item number
Article 132

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Contributions to practice (applied research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2020-12

Date available

Date available

Date available
2021-01-22

Publisher

Publisher

Publisher
Association for Computing Machinery

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0360-0300

OA Status

OA Status

OA Status
Hybrid

Free Access at

Free Access at

Free Access at
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Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:20542

Related URLs

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Related URLs

Citations

Citation copied

Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020). Implementations in Machine Ethics A Survey. ACM Computing Surveys, 53(6), Article 132. https://doi.org/10.1145/3419633

Hybrid Open Access
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