Cited by 129Neuroethics, Human Enhancement, Biomedical InnovationsEEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Embodiment and estrangement: results from a first-in-human “intelligent BCI” trial

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Gilbert, F., Cook, M., O’Brien, T., Illes, J.·2019·Science and Engineering Ethics

Abstract

While new generations of implantable brain computer interface (BCI) devices are being developed, evidence in the literature about their impact on the patient experience is lagging. In this article, we address this knowledge gap by analysing data from the first-in-human clinical trial to study patients with implanted BCI advisory devices. We explored perceptions of self-change across six patients who volunteered to be implanted with artificially intelligent BCI devices. We used qualitative methodological tools grounded in phenomenology to conduct in-depth, semi-structured interviews. Results show that, on the one hand, BCIs can positively increase a sense of the self and control; on the other hand, they can induce radical distress, feelings of loss of control, and a rupture of patient identity. We conclude by offering suggestions for the proactive creation of preparedness protocols specific to intelligent-predictive and advisory-BCI technologies essential to prevent potential iatrogenic harms.

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  • In the BCI context, blurred boundaries between 'self' and 'machine' can destabilize identity formation, producing self-doubt and estrangement.

    “In the BCI context, blurred boundaries between “self” and “machine” can destabilize identity formation, producing self-doubt and estrangement (Gilbert et al., 2019).”

    From Toward a humanized technology: a reinterpretation of Erich Fromm’ s humanistic peace psychology (2026) · cites this paper as Gilbert et al., 2019

    The Introduction says BCIs may blur the boundary between a patient’s identity and an implanted device. The Discussion reports changes in self-understanding and postoperative estrangement, including one patient’s distress and loss of control. It does not specifically identify self-doubt or establish that blurred boundaries caused the distress; another patient experienced the change as restorative. (LLM, conf=0.83)

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Cited by

Sorted by citations

Authors
Gilbert, F., Cook, M., O’Brien, T., & Illes, J.
Affiliations
  • University of Tasmania (AU)
  • The Royal Melbourne Hospital (AU)
  • University of British Columbia (CA)
Corresponding author
  • Gilbert, F.
  • Cook, M.
  • Illes, J.
Venue
Science and Engineering Ethics
Published
2017-11-11
Volume
25
Issue
1
Pages
83-96
ISSN
  • 1353-3452 (ISSN-L)
  • 1471-5546
OpenAlex
W2767664771
Cited by
129
References
1
Citations by year
2026: 11 · 2025: 15 · 2024: 11 · 2023: 17 · 2022: 12 · 2021: 28 · 2020: 18 · 2019: 10 · 2018: 7
FWCI
5.35
Type
journal article
Language
en
Open access
Locations
  • Science and Engineering Ethics (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UTAS Research Repository (acceptedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • eCite Digital Repository (University of Tasmania) (submittedVersion, cc-by)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Science Fondation (EEC-1028725)
  • Australian Research Council (DE150101390, CE 140100012)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroethics, Human Enhancement, Biomedical Innovations
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Keywords
brain-computer interface, embodiment, estrangement, self-perception, loss of control, patient identity, iatrogenic injury, patient readiness, phenomenology of technology
MeSH terms
Artificial Intelligence, Brain, Humans, Intelligence, Surveys and Questionnaires, Self Concept, Stress, Psychological, Technology, Knowledge, Prostheses and Implants, Qualitative Research, Brain-Computer Interfaces

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