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The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces

Advanced brain machine interfaces provide potentially transformative approaches to treating neurological conditions and enhancing the performance of users. Yet, as technological capabilities continue to progress in leaps and bounds, there is a possibility that these capabilities outstrip our collect...

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Detalles Bibliográficos
Autores principales: Maynard, Andrew David, Scragg, Marissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351257/
https://www.ncbi.nlm.nih.gov/pubmed/31674917
http://dx.doi.org/10.2196/16321
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author Maynard, Andrew David
Scragg, Marissa
author_facet Maynard, Andrew David
Scragg, Marissa
author_sort Maynard, Andrew David
collection PubMed
description Advanced brain machine interfaces provide potentially transformative approaches to treating neurological conditions and enhancing the performance of users. Yet, as technological capabilities continue to progress in leaps and bounds, there is a possibility that these capabilities outstrip our collective understanding of how to ensure brain machine interfaces are developed and used ethically and responsibly. In this case, there is an overt danger of rapid technological developments leading to unanticipated harm through a lack of foresight including threats to privacy, autonomy, self-identity, and other areas of personal and social value which, while hard to quantify, represent substantial risks. There is also a very real likelihood of such risks undermining value creation around the technologies and the associated enterprises, as key stakeholders push back against perceived and actual threats to what they, in turn, hold to be of value. In order to successfully traverse the resulting risk landscape, researchers and developers will need to become increasingly adept at integrating a sophisticated understanding of ethical and socially responsible innovation into their enterprises. Here, we illustrate how a “risk innovation” approach may provide novel insights into mapping out this landscape and revealing potentially blindsiding risks. We show how this approach can be used to illuminate challenges and opportunities to the successful, ethical, and responsible development of advanced brain machine interfaces. In addition, we emphasize how success will ultimately depend on the willingness of innovators and others to take ethical and responsible innovation seriously and to draw on the interdisciplinary and transdisciplinary expertise that is necessary to translate good intentions into positive outcomes.
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spelling pubmed-73512572020-07-15 The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces Maynard, Andrew David Scragg, Marissa J Med Internet Res Commentary Advanced brain machine interfaces provide potentially transformative approaches to treating neurological conditions and enhancing the performance of users. Yet, as technological capabilities continue to progress in leaps and bounds, there is a possibility that these capabilities outstrip our collective understanding of how to ensure brain machine interfaces are developed and used ethically and responsibly. In this case, there is an overt danger of rapid technological developments leading to unanticipated harm through a lack of foresight including threats to privacy, autonomy, self-identity, and other areas of personal and social value which, while hard to quantify, represent substantial risks. There is also a very real likelihood of such risks undermining value creation around the technologies and the associated enterprises, as key stakeholders push back against perceived and actual threats to what they, in turn, hold to be of value. In order to successfully traverse the resulting risk landscape, researchers and developers will need to become increasingly adept at integrating a sophisticated understanding of ethical and socially responsible innovation into their enterprises. Here, we illustrate how a “risk innovation” approach may provide novel insights into mapping out this landscape and revealing potentially blindsiding risks. We show how this approach can be used to illuminate challenges and opportunities to the successful, ethical, and responsible development of advanced brain machine interfaces. In addition, we emphasize how success will ultimately depend on the willingness of innovators and others to take ethical and responsible innovation seriously and to draw on the interdisciplinary and transdisciplinary expertise that is necessary to translate good intentions into positive outcomes. JMIR Publications 2019-10-31 /pmc/articles/PMC7351257/ /pubmed/31674917 http://dx.doi.org/10.2196/16321 Text en ©Andrew David Maynard, Marissa Scragg. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.10.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Commentary
Maynard, Andrew David
Scragg, Marissa
The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces
title The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces
title_full The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces
title_fullStr The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces
title_full_unstemmed The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces
title_short The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces
title_sort ethical and responsible development and application of advanced brain machine interfaces
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351257/
https://www.ncbi.nlm.nih.gov/pubmed/31674917
http://dx.doi.org/10.2196/16321
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