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Neurotechnology refers to the integration of neuroscience, biomedical engineering, computer science, artificial intelligence, and digital technologies that help interact with, analyze, interpret, or modulate neural activity. Thanks to innovations in brain-computer interfaces, signal processing, neurostimulation, wearable devices, and artificial intelligence, neurotechnology goes beyond traditional clinical uses and moves into cognition assistance, rehabilitation, communication, human-computer interaction, and new digital realms. These innovations offer immense opportunities for advancing healthcare and aiding people suffering from neurological disabilities; at the same time, they pose complex ethical, legal, social, and security issues. This paper explores the background, application, emerging trends, ethical issues, and regulation needs of neurotechnology. This paper discusses cognitive enhancement, cognitive restoration, decision-making, autonomy, identity, and human-technology interactions. Intersections of neurotechnology, artificial intelligence, the Internet of Things, and immersive digital environments and increasing financial value of neural data are also discussed. Specific focus is placed on mental privacy, informed consent, cognitive liberty, equal access, cybersecurity, manipulation, and responsible innovation. Conceptual governance framework is introduced, which incorporates privacy, security, ethical assessment, human control, and responsibility throughout technology lifecycle. This analysis stresses importance of developing proper mechanisms to accompany technological development to ensure human dignity and autonomy. In conclusion, interdisciplinary research, adaptive governance, security of neural data, and human-oriented design are needed to make sure that neurotechnology develops safely, responsibly, inclusively, and socially valuable way in the future.
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Khan et al. (2026) studied this question.
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