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Ethical Artificial Intelligence for Digital Health Organizations

This technical report describes the methods undertaken by a US-based Digital Health company (X2AI or X2 for short) to develop an ethical code for startup environments and other organizations delivering emotional artificial intelligence (AI) services, especially for mental health support. With a grow...

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Detalles Bibliográficos
Autores principales: Joerin, Angela, Rauws, Michiel, Fulmer, Russell, Black, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138421/
https://www.ncbi.nlm.nih.gov/pubmed/32269881
http://dx.doi.org/10.7759/cureus.7202
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author Joerin, Angela
Rauws, Michiel
Fulmer, Russell
Black, Valerie
author_facet Joerin, Angela
Rauws, Michiel
Fulmer, Russell
Black, Valerie
author_sort Joerin, Angela
collection PubMed
description This technical report describes the methods undertaken by a US-based Digital Health company (X2AI or X2 for short) to develop an ethical code for startup environments and other organizations delivering emotional artificial intelligence (AI) services, especially for mental health support. With a growing demand worldwide for scalable, affordable, and accessible health care solutions, the use of AI offers tremendous potential to improve emotional well-being. To realize this potential, it is imperative that AI service providers prioritize clear and consistent ethical guidelines that align with global considerations regarding user safety and privacy. This report offers a template for an ethical code that can be implemented by other emotional AI services and their affiliates. It includes practical guidelines for integrating support from clients, collaborators, and research partners. It also shows how existing ethical systems can inform the development of AI ethics.
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spelling pubmed-71384212020-04-08 Ethical Artificial Intelligence for Digital Health Organizations Joerin, Angela Rauws, Michiel Fulmer, Russell Black, Valerie Cureus Psychology This technical report describes the methods undertaken by a US-based Digital Health company (X2AI or X2 for short) to develop an ethical code for startup environments and other organizations delivering emotional artificial intelligence (AI) services, especially for mental health support. With a growing demand worldwide for scalable, affordable, and accessible health care solutions, the use of AI offers tremendous potential to improve emotional well-being. To realize this potential, it is imperative that AI service providers prioritize clear and consistent ethical guidelines that align with global considerations regarding user safety and privacy. This report offers a template for an ethical code that can be implemented by other emotional AI services and their affiliates. It includes practical guidelines for integrating support from clients, collaborators, and research partners. It also shows how existing ethical systems can inform the development of AI ethics. Cureus 2020-03-07 /pmc/articles/PMC7138421/ /pubmed/32269881 http://dx.doi.org/10.7759/cureus.7202 Text en Copyright © 2020, Joerin et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Psychology
Joerin, Angela
Rauws, Michiel
Fulmer, Russell
Black, Valerie
Ethical Artificial Intelligence for Digital Health Organizations
title Ethical Artificial Intelligence for Digital Health Organizations
title_full Ethical Artificial Intelligence for Digital Health Organizations
title_fullStr Ethical Artificial Intelligence for Digital Health Organizations
title_full_unstemmed Ethical Artificial Intelligence for Digital Health Organizations
title_short Ethical Artificial Intelligence for Digital Health Organizations
title_sort ethical artificial intelligence for digital health organizations
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138421/
https://www.ncbi.nlm.nih.gov/pubmed/32269881
http://dx.doi.org/10.7759/cureus.7202
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