Hassan Mohamed

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About

Hassan Mohamed is an emerging legal scholar whose research sits at the critical intersection of artificial intelligence, autonomous systems, and healthcare law. His work addresses one of the most pressing challenges of our time: establishing coherent legal frameworks for AI-driven medical technologies. Mohamed's most influential contribution, "Civil Liability for the Actions of Autonomous AI in Healthcare" (2024), has already garnered 28 citations within its first year of publication, signaling strong academic interest in this underexplored domain. In this work, he examines the profound legal and ethical questions arising from deploying autonomous robots and machine learning applications across healthcare settings, from routine diagnostics to complex surgical procedures. His follow-up study on what he terms the "iRobo-Surgeon conundrum" further demonstrates his commitment to tackling the thorny question of legal responsibility when fully autonomous surgical robots cause patient harm or death. By conducting comparative legal analyses across multiple civil liability frameworks, Mohamed equips policymakers, legal practitioners, and healthcare professionals with nuanced perspectives needed to navigate an increasingly automated medical landscape. His scholarship represents an important and timely voice in shaping the regulatory future of AI in medicine.