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January 20, 20260 citationsOpen Access

Neuroethics and Regulatory Imperatives for Secure Brain–Machine Interfaces

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KAKrishna Mohan Avancha

Key Points

  • The research aims to evaluate the ethical and regulatory challenges posed by brain-machine interfaces.
  • Analyzed existing ethical frameworks regarding brain-machine interfaces.
  • Examined risks associated with BMIs such as cognitive surveillance and algorithmic bias.
  • Mapped regulatory regimes across different jurisdictions.
  • Proposed a neuroethical governance framework focused on precaution and reversibility.
  • Identified significant risks related to cognitive surveillance and identity misuse.
  • Highlighted gaps in current regulatory frameworks concerning BMIs.
  • Proposed a governance framework that emphasizes precautionary principles for BMI implementation.

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.

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Cite This Study

Krishna Mohan Avancha (2025) studied this question.

synapsesocial.com/papers/696f1ac19e64f732b51ef08ehttps://doi.org/10.5281/zenodo.18286236
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