Brain–Computer Interfaces: Lessons to Be Learned from the Ethics of Algorithms

Details

Serval ID
serval:BIB_DB4FE0029BB9
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Brain–Computer Interfaces: Lessons to Be Learned from the Ethics of Algorithms
Journal
Cambridge Quarterly of Healthcare Ethics
Author(s)
WOLKENSTEIN ANDREAS, JOX RALF J., FRIEDRICH ORSOLYA
ISSN
0963-1801
1469-2147
Publication state
Published
Issued date
10/2018
Volume
27
Number
4
Pages
635-646
Language
english
Abstract
Brain–computer interfaces (BCIs) are driven essentially by algorithms; however, the ethical role of such algorithms has so far been neglected in the ethical assessment of BCIs. The goal of this article is therefore twofold: First, it aims to offer insights into whether (and how) the problems related to the ethics of BCIs (e.g., responsibility) can be better grasped with the help of already existing work on the ethics of algorithms. As a second goal, the article explores what kinds of solutions are available in that body of scholarship, and how these solutions relate to some of the ethical questions around BCIs. In short, the article asks what lessons can be learned about the ethics of BCIs from looking at the ethics of algorithms. To achieve these goals, the article proceeds as follows. First, a brief introduction into the algorithmic background of BCIs is given. Second, the debate about epistemic concerns and the ethics of algorithms is sketched. Finally, this debate is transferred to the ethics of BCIs.
Keywords
Health Policy, Issues, ethics and legal aspects, Health(social science)
Pubmed
Web of science
Create date
17/06/2021 9:15
Last modification date
26/06/2021 7:16
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