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