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Actionable Principles for Artificial Intelligence Policy: Three Pathways
In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framewor...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895786/ https://www.ncbi.nlm.nih.gov/pubmed/33608756 http://dx.doi.org/10.1007/s11948-020-00277-3 |
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author | Stix, Charlotte |
author_facet | Stix, Charlotte |
author_sort | Stix, Charlotte |
collection | PubMed |
description | In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of ‘Actionable Principles for AI’. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commission’s “High Level Expert Group on AI”. Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of 'Actionable Principles for AI'. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability. |
format | Online Article Text |
id | pubmed-7895786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-78957862021-03-19 Actionable Principles for Artificial Intelligence Policy: Three Pathways Stix, Charlotte Sci Eng Ethics Original Research/Scholarship In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of ‘Actionable Principles for AI’. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commission’s “High Level Expert Group on AI”. Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of 'Actionable Principles for AI'. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability. Springer Netherlands 2021-02-19 2021 /pmc/articles/PMC7895786/ /pubmed/33608756 http://dx.doi.org/10.1007/s11948-020-00277-3 Text en © The Author(s) 2021 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/. |
spellingShingle | Original Research/Scholarship Stix, Charlotte Actionable Principles for Artificial Intelligence Policy: Three Pathways |
title | Actionable Principles for Artificial Intelligence Policy: Three Pathways |
title_full | Actionable Principles for Artificial Intelligence Policy: Three Pathways |
title_fullStr | Actionable Principles for Artificial Intelligence Policy: Three Pathways |
title_full_unstemmed | Actionable Principles for Artificial Intelligence Policy: Three Pathways |
title_short | Actionable Principles for Artificial Intelligence Policy: Three Pathways |
title_sort | actionable principles for artificial intelligence policy: three pathways |
topic | Original Research/Scholarship |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895786/ https://www.ncbi.nlm.nih.gov/pubmed/33608756 http://dx.doi.org/10.1007/s11948-020-00277-3 |
work_keys_str_mv | AT stixcharlotte actionableprinciplesforartificialintelligencepolicythreepathways |