TY - JOUR
T1 - Neuroethics, Covert Consciousness, and Disability Rights
T2 - What Happens When Artificial Intelligence Meets Cognitive Motor Dissociation?
AU - Fins, Joseph J.
AU - Shulman, Kaiulani S.
N1 - © 2024 Massachusetts Institute of Technology.
PY - 2024/8
Y1 - 2024/8
N2 - In this article, we consider the intersection of cognitive motor dissociation (CMD) and artificial intelligence (AI), hence when CMD meets AI. In covert consciousness, there is a discordance between the observed behavior, the traditional bedside mode of assessment, and the response to volitional commands as depicted by neuroimaging or EEG studies. This alphabet soup of acronyms represents both the promise and peril of nascent technology in covert consciousness. On the diagnostic side, there is the complexity and uncertainty of identifying the discordance between cognitive activity and overt behavior. On the therapeutic side, when AI is used to generate speech, there is the possibility of misrepresenting the thoughts and intentions of those who are otherwise voice-less. This concordance of factors makes the application of AI to CMD worthy of deeper consideration. We offer this analysis in the spirit of anticipatory governance, a prudential process by which one plans to prevent or mitigate unintended conse-quences of novel technology. We first consider the normative challenges posed by CMD for clinical practice, neuroethics, and the law. We then explore the history of covert consciousness and the relationship of severe brain injury to the right-to-die movement, before introducing three biographies of brain injury that highlight the potential impact of disability bias or ableism in clinical practice, assistive technology, and translational research. Subsequently, we explore how AI might give voice to conscious individuals who are unable to communicate and the ethical challenges that this technology must overcome to promote human flourishing drawing upon what Nussbaum and Sen have described as a “capabilities approach” to promote normative reasoning.
AB - In this article, we consider the intersection of cognitive motor dissociation (CMD) and artificial intelligence (AI), hence when CMD meets AI. In covert consciousness, there is a discordance between the observed behavior, the traditional bedside mode of assessment, and the response to volitional commands as depicted by neuroimaging or EEG studies. This alphabet soup of acronyms represents both the promise and peril of nascent technology in covert consciousness. On the diagnostic side, there is the complexity and uncertainty of identifying the discordance between cognitive activity and overt behavior. On the therapeutic side, when AI is used to generate speech, there is the possibility of misrepresenting the thoughts and intentions of those who are otherwise voice-less. This concordance of factors makes the application of AI to CMD worthy of deeper consideration. We offer this analysis in the spirit of anticipatory governance, a prudential process by which one plans to prevent or mitigate unintended conse-quences of novel technology. We first consider the normative challenges posed by CMD for clinical practice, neuroethics, and the law. We then explore the history of covert consciousness and the relationship of severe brain injury to the right-to-die movement, before introducing three biographies of brain injury that highlight the potential impact of disability bias or ableism in clinical practice, assistive technology, and translational research. Subsequently, we explore how AI might give voice to conscious individuals who are unable to communicate and the ethical challenges that this technology must overcome to promote human flourishing drawing upon what Nussbaum and Sen have described as a “capabilities approach” to promote normative reasoning.
KW - Consciousness/physiology
KW - Humans
KW - Artificial Intelligence
KW - Disabled Persons
UR - http://www.scopus.com/inward/record.url?scp=85197976307&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85197976307&partnerID=8YFLogxK
U2 - 10.1162/jocn_a_02157
DO - 10.1162/jocn_a_02157
M3 - Article
C2 - 38579252
AN - SCOPUS:85197976307
SN - 0898-929X
VL - 36
SP - 1667
EP - 1674
JO - Journal of Cognitive Neuroscience
JF - Journal of Cognitive Neuroscience
IS - 8
ER -