MODELING OF GLOBAL PROCESSES. NONLINEAR DYNAMICS AND HUMANITIES

Co-evolution of neurotechnology and AI: ethical challenges and regulatory approaches

A. V. Shenderyuk-Zhidkov^ab, V. A. Maksimenko^c, A. E. Khramov<sup>de

a</sup> Federation Council of the Russian Federation, Moscow, Russia
^b Immanuel Kant Baltic Federal University, Kaliningrad, Russia
^c Autonomous Nonprofit Organization “Neimark”, Nizhny Novgorod, Russia
^d Plekhanov Russian University of Economics, Moscow, Russia
^e Federal State Autonomous Institution “Digital Industrial Technologies”, Moscow, Russia

Abstract: The purpose Purpose of this study is to analyze the ethical challenges at the intersection of neurotechnology and artificial intelligence (AI), and propose regulatory approaches to ensure their responsible development. Special focus is given to personal autonomy, data privacy, social justice, and prevention of mind manipulation. Methods. The research employs an interdisciplinary approach, including analysis of scientific literature, regulatory frameworks, and positions of religious institutions. Risks associated with AI and neurotechnologies are compared, emphasizing their co-evolution. Results. Neurotechnologies, unlike AI, pose unique risks such as direct mental interference and threats to identity. Regulatory gaps, including the lack of laws on neurodata, are identified. Adapted ethical frameworks combining transparency, accountability, and human rights protection are proposed. Conclusion. Recommendations include bans on mind manipulation, mandatory AI content labeling, and human oversight priority. International collaboration and interdisciplinary dialogue are emphasized to mitigate risks and promote sustainable development of these technologies.  

Keywords: artificial intelligence, neurotechnology, explainability, legal regulatory standards, ethical dilemmas.

UDC: 004.8

Received: 08.07.2025
Revised: 30.01.2026
Accepted: 01.08.2025

DOI: 10.18500/0869-6632-003196