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Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Ethical considerations for integrating multimodal computer perception and neurotechnology.

Meghan E Hurley¹, Anika Sonig¹, John Herrington²

¹Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, United States.

Frontiers in Human Neuroscience

|March 4, 2024

Summary

This summary is machine-generated.

Integrating artificial intelligence (AI) with neural data in healthcare raises privacy and ethical concerns. Stakeholders worry about data security, patient awareness, and potential discrimination from passive monitoring technologies.

Keywords:

affective computing computer perception digital phenotyping neural data neuroethics neurorights privacy

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Area of Science:

Neuroscience
Computer Science
Ethics

Background:

Artificial intelligence (AI)-based computer perception technologies offer objective measures for personalized psychiatric care.
Passive data collection raises ethical concerns regarding privacy and self-determination.
Integrating neural data with AI exacerbates these ethical considerations.

Purpose of the Study:

To investigate ethical considerations for translating computer perception technologies into clinical care.
To understand stakeholder perspectives on AI-driven health monitoring.
To contextualize findings within neuroethics and neurorights literature.

Main Methods:

Qualitative interviews with diverse stakeholders including patients, caregivers, clinicians, and developers (n=56).
Thematic Content Analysis of interview transcripts using MAXQDA software.
Multi-site study funded by the National Center for Advancing Translational Sciences (NCATS).

Main Results:

Stakeholders expressed concerns about data invasiveness, security, and potential negative impacts of disclosure.
Ethical issues arise from varying levels of patient awareness (hypo- to hyper-awareness) of data collection.
Clinicians and developers noted that integrating neural data amplifies these concerns.

Conclusions:

Integrating neurotechnologies with computer perception introduces novel dignity-related harms, including stigma and discrimination, due to data security risks.
Patient awareness of monitoring, from hypo- to hyper-awareness, presents distinct ethical challenges.
Systematic research is needed to implement these technologies ethically, minimizing disruption and maximizing patient benefit while mitigating long-term risks.