Neuroethics and Regulatory Imperatives for Secure Brain–Machine Interfaces

Brain–Machine Interfaces (BMIs) challenge existing ethical and regulatory frameworks by introducing direct interaction with neural activity—the substrate of identity, agency, and autonomy. As operating systems such as THEMI-OS propose security-first, brain-sovereign architectures, it becomes essential to examine the neuroethical foundations and regulatory pathways that must govern their development and deployment. This companion paper analyzes BMI technology through the lenses of neuroethics, human rights, data protection law, and medical-device regulation. It evaluates risks such as cognitive surveillance, neural coercion, identity misuse, and algorithmic bias, while mapping existing regulatory regimes across jurisdictions. The paper further proposes a practical neuroethical governance framework aligned with minimalist BMI operating systems, emphasizing precaution, proportionality, and reversibility. The aim is to offer a credible, non-alarmist, and policy-relevant contribution to responsible BMI innovation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-25
DOI
https://doi.org/10.5281/zenodo.18286236
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Neuroethics and Regulatory Imperatives for Secure Brain–Machine Interfaces

Krishna Mohan Avancha
Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
article

Neuroethics and Regulatory Imperatives for Secure Brain–Machine Interfaces

Krishna Mohan Avancha
article en

Abstract

Brain–Machine Interfaces (BMIs) challenge existing ethical and regulatory frameworks by introducing direct interaction with neural activity—the substrate of identity, agency, and autonomy. As operating systems such as THEMI-OS propose security-first, brain-sovereign architectures, it becomes essential to examine the neuroethical foundations and regulatory pathways that must govern their development and deployment. This companion paper analyzes BMI technology through the lenses of neuroethics, human rights, data protection law, and medical-device regulation. It evaluates risks such as cognitive surveillance, neural coercion, identity misuse, and algorithmic bias, while mapping existing regulatory regimes across jurisdictions. The paper further proposes a practical neuroethical governance framework aligned with minimalist BMI operating systems, emphasizing precaution, proportionality, and reversibility. The aim is to offer a credible, non-alarmist, and policy-relevant contribution to responsible BMI innovation.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Openalex Percentile: Top 29%
EEG and Brain-Computer Interfaces
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