Ethical Artificial Intelligence, Neurotechnology, and Interface Regulation

Development and critical analysis of neurodigital systems, cognitive algorithms, and brain-device interfaces, focusing on ethical artificial intelligence, translational neurotechnology, and its social, ethical, and regulatory impacts.

This line integrates studies of neuroethics, algorithmic interpretation, cognitive privacy, and regulation of emerging technologies, anticipating the contemporary dilemmas of mind-machine integration and contributing to future models of governance in digital mental health.