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Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices
Voice-based AI-powered digital assistants, such as Alexa, Siri, and Google Assistant, present an exciting opportunity to translate healthcare from the hospital to the home. But building a digital, medical panopticon can raise many legal and ethical challenges if not designed and implemented thoughtf...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797943/ https://www.ncbi.nlm.nih.gov/pubmed/35882237 http://dx.doi.org/10.1016/j.xcrm.2022.100692 |
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author | Simon, David A. Evans, Barbara J. Shachar, Carmel Cohen, I. Glenn |
author_facet | Simon, David A. Evans, Barbara J. Shachar, Carmel Cohen, I. Glenn |
author_sort | Simon, David A. |
collection | PubMed |
description | Voice-based AI-powered digital assistants, such as Alexa, Siri, and Google Assistant, present an exciting opportunity to translate healthcare from the hospital to the home. But building a digital, medical panopticon can raise many legal and ethical challenges if not designed and implemented thoughtfully. This paper highlights the benefits and explores some of the challenges of using digital assistants to detect early signs of cognitive impairment, focusing on issues such as consent, bycatching, privacy, and regulatory oversight. By using a fictional but plausible near-future hypothetical, we demonstrate why an “ethics-by-design” approach is necessary for consumer-monitoring tools that may be used to identify health concerns for their users. |
format | Online Article Text |
id | pubmed-9797943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97979432022-12-30 Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices Simon, David A. Evans, Barbara J. Shachar, Carmel Cohen, I. Glenn Cell Rep Med Commentary Voice-based AI-powered digital assistants, such as Alexa, Siri, and Google Assistant, present an exciting opportunity to translate healthcare from the hospital to the home. But building a digital, medical panopticon can raise many legal and ethical challenges if not designed and implemented thoughtfully. This paper highlights the benefits and explores some of the challenges of using digital assistants to detect early signs of cognitive impairment, focusing on issues such as consent, bycatching, privacy, and regulatory oversight. By using a fictional but plausible near-future hypothetical, we demonstrate why an “ethics-by-design” approach is necessary for consumer-monitoring tools that may be used to identify health concerns for their users. Elsevier 2022-07-25 /pmc/articles/PMC9797943/ /pubmed/35882237 http://dx.doi.org/10.1016/j.xcrm.2022.100692 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Commentary Simon, David A. Evans, Barbara J. Shachar, Carmel Cohen, I. Glenn Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices |
title | Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices |
title_full | Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices |
title_fullStr | Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices |
title_full_unstemmed | Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices |
title_short | Should Alexa diagnose Alzheimer’s?: Legal and ethical issues with at-home consumer devices |
title_sort | should alexa diagnose alzheimer’s?: legal and ethical issues with at-home consumer devices |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797943/ https://www.ncbi.nlm.nih.gov/pubmed/35882237 http://dx.doi.org/10.1016/j.xcrm.2022.100692 |
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