Ethical Implications of Brain-Computer Interface and Artificial Intelligence in Medicine and Health Care
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Accès restreint UNIL
Etat: Public
Version: de l'auteur⸱e
Licence: Non spécifiée
Accès restreint UNIL
Etat: Public
Version: de l'auteur⸱e
Licence: Non spécifiée
ID Serval
serval:BIB_5FC90656A8B0
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
Ethical Implications of Brain-Computer Interface and Artificial Intelligence in Medicine and Health Care
Titre du livre
Advances in Neuroethics
Editeur
Springer International Publishing
ISBN
9783030645892
9783030645908
9783030645908
ISSN
2522-5677
2522-5685
2522-5685
Statut éditorial
Publié
Date de publication
2021
Pages
155-168
Langue
anglais
Résumé
Artificial intelligence and brain-computer interfaces are two novel technologies
that have numerous potential areas of application in medicine. They raise, however,
significant ethical implications that call for reflection and discussion before
deciding about the use of these kinds of applications. In this chapter, I present
some examples of these technologies, focusing first on the ethical implications of
medical research on brain-computer interfaces. Using the example of a recent
case of alleged scientific misconduct, I highlight the dangers inherent in this kind
of research on clinical technology. Second, I focus on ethical issues in the clinical
application of artificial intelligence and deep learning algorithms in medicine
and highlight some risks and challenges for the patient–physician relationship,
but more fundamentally also for the character of medicine.
that have numerous potential areas of application in medicine. They raise, however,
significant ethical implications that call for reflection and discussion before
deciding about the use of these kinds of applications. In this chapter, I present
some examples of these technologies, focusing first on the ethical implications of
medical research on brain-computer interfaces. Using the example of a recent
case of alleged scientific misconduct, I highlight the dangers inherent in this kind
of research on clinical technology. Second, I focus on ethical issues in the clinical
application of artificial intelligence and deep learning algorithms in medicine
and highlight some risks and challenges for the patient–physician relationship,
but more fundamentally also for the character of medicine.
Création de la notice
15/06/2021 13:14
Dernière modification de la notice
17/07/2024 6:09