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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Sep 18, 2019
Open Peer Review Period: Sep 18, 2019 - Oct 12, 2019
Date Accepted: Oct 14, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Maynard AD, Scragg M

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

J Med Internet Res 2019;21(10):e16321

DOI: 10.2196/16321

PMID: 31674917

PMCID: 7351257

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The ethical and responsible development and application of advanced brain machine interfaces

  • Andrew David Maynard; 
  • Marissa Scragg

ABSTRACT

Advanced Brain Machine Interfaces (BMIs) 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 danger that these capabilities outstrip our collective understanding of how to ensure BMIs are developed and used ethically and responsibility. In this case, there is an overt danger of rapid technological developments leading to unanticipated harm through lack of foresight—including threats to privacy, autonomy, self-identity, and other areas of personal and social value which, while hard to quantify, nevertheless 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 ou 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 BMIs. And 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.


 Citation

Please cite as:

Maynard AD, Scragg M

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

J Med Internet Res 2019;21(10):e16321

DOI: 10.2196/16321

PMID: 31674917

PMCID: 7351257

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.