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Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality

This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse fin...

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Autores principales: Ryan, Mark, Antoniou, Josephina, Brooks, Laurence, Jiya, Tilimbe, Macnish, Kevin, Stahl, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977017/
https://www.ncbi.nlm.nih.gov/pubmed/33686527
http://dx.doi.org/10.1007/s11948-021-00293-x
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author Ryan, Mark
Antoniou, Josephina
Brooks, Laurence
Jiya, Tilimbe
Macnish, Kevin
Stahl, Bernd
author_facet Ryan, Mark
Antoniou, Josephina
Brooks, Laurence
Jiya, Tilimbe
Macnish, Kevin
Stahl, Bernd
author_sort Ryan, Mark
collection PubMed
description This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI, there is overlap and correlation between the organisations’ ethical concerns. This more detailed understanding of ethics in AI + BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature.
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spelling pubmed-79770172021-04-05 Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality Ryan, Mark Antoniou, Josephina Brooks, Laurence Jiya, Tilimbe Macnish, Kevin Stahl, Bernd Sci Eng Ethics Original Research/Scholarship This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI, there is overlap and correlation between the organisations’ ethical concerns. This more detailed understanding of ethics in AI + BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature. Springer Netherlands 2021-03-08 2021 /pmc/articles/PMC7977017/ /pubmed/33686527 http://dx.doi.org/10.1007/s11948-021-00293-x 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/Scholarship
Ryan, Mark
Antoniou, Josephina
Brooks, Laurence
Jiya, Tilimbe
Macnish, Kevin
Stahl, Bernd
Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
title Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
title_full Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
title_fullStr Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
title_full_unstemmed Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
title_short Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
title_sort research and practice of ai ethics: a case study approach juxtaposing academic discourse with organisational reality
topic Original Research/Scholarship
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977017/
https://www.ncbi.nlm.nih.gov/pubmed/33686527
http://dx.doi.org/10.1007/s11948-021-00293-x
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