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Factoring ethics in management algorithms for municipal information-analytical systems
The discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent framew...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498768/ https://www.ncbi.nlm.nih.gov/pubmed/34790959 http://dx.doi.org/10.1007/s43681-021-00098-5 |
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author | Sergei, Kamolov Alexander, Kriebitz Polina, Eliseeva Nikita, Aleksandrov |
author_facet | Sergei, Kamolov Alexander, Kriebitz Polina, Eliseeva Nikita, Aleksandrov |
author_sort | Sergei, Kamolov |
collection | PubMed |
description | The discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent frameworks have been remaining vague. The following paper aims to fill this gap by examining the ethical implications of the use of information analytical systems through a management approach for filtering the content in social media and preventing information thrusts with negative consequences for human beings and public administration. The ethical dimensions of AI technologies are revealed through deduction of general challenges of digital governance to applied level management technics. |
format | Online Article Text |
id | pubmed-8498768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84987682021-10-08 Factoring ethics in management algorithms for municipal information-analytical systems Sergei, Kamolov Alexander, Kriebitz Polina, Eliseeva Nikita, Aleksandrov AI Ethics Original Research The discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent frameworks have been remaining vague. The following paper aims to fill this gap by examining the ethical implications of the use of information analytical systems through a management approach for filtering the content in social media and preventing information thrusts with negative consequences for human beings and public administration. The ethical dimensions of AI technologies are revealed through deduction of general challenges of digital governance to applied level management technics. Springer International Publishing 2021-10-08 2022 /pmc/articles/PMC8498768/ /pubmed/34790959 http://dx.doi.org/10.1007/s43681-021-00098-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Sergei, Kamolov Alexander, Kriebitz Polina, Eliseeva Nikita, Aleksandrov Factoring ethics in management algorithms for municipal information-analytical systems |
title | Factoring ethics in management algorithms for municipal information-analytical systems |
title_full | Factoring ethics in management algorithms for municipal information-analytical systems |
title_fullStr | Factoring ethics in management algorithms for municipal information-analytical systems |
title_full_unstemmed | Factoring ethics in management algorithms for municipal information-analytical systems |
title_short | Factoring ethics in management algorithms for municipal information-analytical systems |
title_sort | factoring ethics in management algorithms for municipal information-analytical systems |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498768/ https://www.ncbi.nlm.nih.gov/pubmed/34790959 http://dx.doi.org/10.1007/s43681-021-00098-5 |
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