Control and Ownership of Neuroprosthetic Speech.
Brain-computer interfaces
Control
Neuroprosthetics
Ownership
Responsibility
Speech
Journal
Philosophy & technology
ISSN: 2210-5433
Titre abrégé: Philos Technol
Pays: Netherlands
ID NLM: 101583724
Informations de publication
Date de publication:
2021
2021
Historique:
received:
21
01
2019
accepted:
14
11
2019
entrez:
1
11
2021
pubmed:
2
11
2021
medline:
2
11
2021
Statut:
ppublish
Résumé
Implantable brain-computer interfaces (BCIs) are being developed to restore speech capacity for those who are unable to speak. Patients with locked-in syndrome or amyotrophic lateral sclerosis could be able to use covert speech - vividly imagining saying something without actual vocalisation - to trigger neural controlled systems capable of synthesising speech. User control has been identified as particularly pressing for this type of BCI. The incorporation of machine learning and statistical language models into the decoding process introduces a contribution to (or 'shaping of') the output that is beyond the user's control. Whilst this type of 'shared control' of BCI action is not unique to speech BCIs, the automated shaping of what a user 'says' has a particularly acute ethical dimension, which may differ from parallel concerns surrounding automation in movement BCIs. This paper provides an analysis of the control afforded to the user of a speech BCI of the sort under development, as well as the relationships between
Identifiants
pubmed: 34722130
doi: 10.1007/s13347-019-00389-0
pii: 389
pmc: PMC8550345
doi:
Types de publication
Journal Article
Langues
eng
Pagination
425-445Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 104848/Z/14/Z
Pays : United Kingdom
Informations de copyright
© The Author(s) 2020.
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