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Investing in AI for social good: an analysis of European national strategies

Artificial Intelligence (AI) has become a driving force in modern research, industry and public administration and the European Union (EU) is embracing this technology with a view to creating societal, as well as economic, value. This effort has been shared by EU Member States which were all encoura...

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Autores principales: Foffano, Francesca, Scantamburlo, Teresa, Cortés, Atia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068863/
https://www.ncbi.nlm.nih.gov/pubmed/35528248
http://dx.doi.org/10.1007/s00146-022-01445-8
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author Foffano, Francesca
Scantamburlo, Teresa
Cortés, Atia
author_facet Foffano, Francesca
Scantamburlo, Teresa
Cortés, Atia
author_sort Foffano, Francesca
collection PubMed
description Artificial Intelligence (AI) has become a driving force in modern research, industry and public administration and the European Union (EU) is embracing this technology with a view to creating societal, as well as economic, value. This effort has been shared by EU Member States which were all encouraged to develop their own national AI strategies outlining policies and investment levels. This study focuses on how EU Member States are approaching the promise to develop and use AI for the good of society through the lens of their national AI strategies. In particular, we aim to investigate how European countries are investing in AI and to what extent the stated plans contribute to the good of people and society as a whole. Our contribution consists of three parts: (i) a conceptualization of AI for social good highlighting the role of AI policy, in particular, the one put forward by the European Commission (EC); (ii) a qualitative analysis of 15 European national strategies mapping investment plans and suggesting their relation to the social good (iii) a reflection on the current status of investments in socially good AI and possible steps to move forward. Our study suggests that while European national strategies incorporate money allocations in the sphere of AI for social good (e.g. education), there is a broader variety of underestimated actions (e.g. multidisciplinary approach in STEM curricula and dialogue among stakeholders) that can boost the European commitment to sustainable and responsible AI innovation.
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spelling pubmed-90688632022-05-04 Investing in AI for social good: an analysis of European national strategies Foffano, Francesca Scantamburlo, Teresa Cortés, Atia AI Soc Original Article Artificial Intelligence (AI) has become a driving force in modern research, industry and public administration and the European Union (EU) is embracing this technology with a view to creating societal, as well as economic, value. This effort has been shared by EU Member States which were all encouraged to develop their own national AI strategies outlining policies and investment levels. This study focuses on how EU Member States are approaching the promise to develop and use AI for the good of society through the lens of their national AI strategies. In particular, we aim to investigate how European countries are investing in AI and to what extent the stated plans contribute to the good of people and society as a whole. Our contribution consists of three parts: (i) a conceptualization of AI for social good highlighting the role of AI policy, in particular, the one put forward by the European Commission (EC); (ii) a qualitative analysis of 15 European national strategies mapping investment plans and suggesting their relation to the social good (iii) a reflection on the current status of investments in socially good AI and possible steps to move forward. Our study suggests that while European national strategies incorporate money allocations in the sphere of AI for social good (e.g. education), there is a broader variety of underestimated actions (e.g. multidisciplinary approach in STEM curricula and dialogue among stakeholders) that can boost the European commitment to sustainable and responsible AI innovation. Springer London 2022-05-05 2023 /pmc/articles/PMC9068863/ /pubmed/35528248 http://dx.doi.org/10.1007/s00146-022-01445-8 Text en © The Author(s) 2022, corrected publication 2022 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 Article
Foffano, Francesca
Scantamburlo, Teresa
Cortés, Atia
Investing in AI for social good: an analysis of European national strategies
title Investing in AI for social good: an analysis of European national strategies
title_full Investing in AI for social good: an analysis of European national strategies
title_fullStr Investing in AI for social good: an analysis of European national strategies
title_full_unstemmed Investing in AI for social good: an analysis of European national strategies
title_short Investing in AI for social good: an analysis of European national strategies
title_sort investing in ai for social good: an analysis of european national strategies
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068863/
https://www.ncbi.nlm.nih.gov/pubmed/35528248
http://dx.doi.org/10.1007/s00146-022-01445-8
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