Mihailis Diamantis is a Professor of Law at the University of Iowa College of Law, where he maintains an active research agenda focused on the intersection of corporate law, criminal law, and emerging technologies. With 57 scholarly publications that have garnered over 14,500 downloads and 62 citations according to SSRN rankings, he has established himself as a leading voice in corporate criminal law and AI regulation. Professor Diamantis specializes in the legal frameworks governing artificial intelligence, corporate crime, and white-collar criminal law. His research explores how traditional legal concepts apply to modern technological challenges, particularly focusing on corporate liability for AI systems, the philosophical underpinnings of corporate personhood, and innovative approaches to corporate punishment. He has developed novel theories such as the 'Extended Corporate Mind' and 'Character Theory of Corporate Punishment' that have reshaped academic discourse in these areas. His recent publications demonstrate a clear trajectory toward increasingly sophisticated analyses of AI's legal implications, with a growing emphasis on practical regulatory frameworks for emerging technologies. Diamantis has pioneered approaches that bridge philosophical inquiry with concrete legal solutions, particularly in the areas of algorithmic accountability, privacy law, and corporate liability structures for AI harms. His work often challenges conventional wisdom, as seen in his provocative arguments about the 'Monster Within' corporations and the need to reframe how we conceptualize corporate criminality. Professor Diamantis frequently collaborates with scholars across disciplines, as evidenced by his co-authored works with experts from Princeton University, Cambridge University, and the University of Pennsylvania. His interdisciplinary approach draws from cognitive science, philosophy of mind, and business ethics to develop comprehensive frameworks for understanding and addressing corporate misconduct in the digital age.










