Ronan Hamon

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About

Ronan Hamon is a researcher working at the intersection of artificial intelligence, law, and governance, with a particular focus on the ethical and legal dimensions of machine learning systems. His most notable work, "Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof" (2023), has garnered 13 citations and demonstrates his commitment to bridging the gap between rapidly evolving AI technologies and the legal frameworks needed to govern them responsibly. In this contribution, Hamon examines how existing liability regimes must adapt to accommodate the disruptive nature of data-driven and machine learning approaches, offering a use-case driven methodology that grounds abstract legal questions in practical, real-world scenarios. His research is especially timely given the accelerating deployment of AI across industries and the pressing societal need for clear accountability mechanisms. By combining technical understanding of ML with rigorous legal analysis, Hamon occupies a valuable interdisciplinary space, making his work highly relevant for policymakers, legal scholars, and AI practitioners alike who are grappling with the governance challenges posed by modern intelligent systems.