Muhammad Salar Khan

Papers

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About

Muhammad Salar Khan is a pioneering researcher at the intersection of neuro-robotics, ethics, and autonomous systems. His work critically examines the ethical and societal implications of neuro-robots—machines designed to mimic human brain architecture and cognition. Khan’s most cited paper, “When neuro-robots go wrong: A review” (2023, 4 citations), offers a foundational analysis of failure modes in these systems, directly engaging with frameworks like the European Union’s Convention on Roboethics 2025. This work underscores his role in shaping responsible innovation in AI and robotics. Beyond this, Khan’s research contributes to the broader discourse on machine ethics, human-robot interaction, and the governance of emerging technologies. His insights are vital for students and researchers navigating the complex terrain where neuroscience, engineering, and policy converge. By highlighting the risks and responsibilities inherent in creating brain-inspired machines, Khan provides a critical lens for developing safer, more ethical autonomous systems.