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Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants

Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and comme...

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Detalles Bibliográficos
Autores principales: Capasso, Marianna, Umbrello, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613457/
https://www.ncbi.nlm.nih.gov/pubmed/34822096
http://dx.doi.org/10.1007/s11019-021-10062-z
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author Capasso, Marianna
Umbrello, Steven
author_facet Capasso, Marianna
Umbrello, Steven
author_sort Capasso, Marianna
collection PubMed
description Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and commercially available systems upskilled to integrate these novel care practices. Given the widespread adoption, coupled with the dramatic changes in practices, new ethical and social issues emerge due to how these systems nudge users into making decisions and changing behaviours. This article discusses how these AI-driven systems pose particular ethical challenges with regards to nudging. To confront these issues, the value sensitive design (VSD) approach is adopted as a principled methodology that designers can adopt to design these systems to avoid harming and contribute to the social good. The AI for Social Good (AI4SG) factors are adopted as the norms constraining maleficence. In contrast, higher-order values specific to AI, such as those from the EU High-Level Expert Group on AI and the United Nations Sustainable Development Goals, are adopted as the values to be promoted as much as possible in design. The use case of Amazon Alexa's Healthcare Skills is used to illustrate this design approach. It provides an exemplar of how designers and engineers can begin to orientate their design programs of these technologies towards the social good.
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spelling pubmed-86134572021-11-26 Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants Capasso, Marianna Umbrello, Steven Med Health Care Philos Scientific Contribution Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and commercially available systems upskilled to integrate these novel care practices. Given the widespread adoption, coupled with the dramatic changes in practices, new ethical and social issues emerge due to how these systems nudge users into making decisions and changing behaviours. This article discusses how these AI-driven systems pose particular ethical challenges with regards to nudging. To confront these issues, the value sensitive design (VSD) approach is adopted as a principled methodology that designers can adopt to design these systems to avoid harming and contribute to the social good. The AI for Social Good (AI4SG) factors are adopted as the norms constraining maleficence. In contrast, higher-order values specific to AI, such as those from the EU High-Level Expert Group on AI and the United Nations Sustainable Development Goals, are adopted as the values to be promoted as much as possible in design. The use case of Amazon Alexa's Healthcare Skills is used to illustrate this design approach. It provides an exemplar of how designers and engineers can begin to orientate their design programs of these technologies towards the social good. Springer Netherlands 2021-11-25 2022 /pmc/articles/PMC8613457/ /pubmed/34822096 http://dx.doi.org/10.1007/s11019-021-10062-z 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 Scientific Contribution
Capasso, Marianna
Umbrello, Steven
Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
title Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
title_full Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
title_fullStr Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
title_full_unstemmed Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
title_short Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
title_sort responsible nudging for social good: new healthcare skills for ai-driven digital personal assistants
topic Scientific Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613457/
https://www.ncbi.nlm.nih.gov/pubmed/34822096
http://dx.doi.org/10.1007/s11019-021-10062-z
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