Claire Benn

Papers

Total Citations

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About

Claire Benn’s research lies at the intersection of artificial intelligence, ethics, and human–robot interaction, with a particular focus on how machines navigate moral ambiguity. Her most-cited work, “Reducing moral ambiguity in partially observed human–robot interactions” (2021), addresses a critical challenge: when humans cannot fully observe a robot’s behavior, uncertainty about its normative conduct can erode trust and complicate safe deployment. Benn proposes frameworks to make robot decision-making more transparent and ethically legible, even under partial observation. While her citation count is still growing—a sign of an emerging scholar—her contributions are already shaping conversations around responsible AI design. By tackling the gap between technical performance and moral clarity, Benn’s work offers practical pathways for building robots that humans can confidently share space with. Her research is especially relevant for students and engineers working on autonomous systems in healthcare, service robotics, and collaborative environments, where ethical ambiguity can have real-world consequences. Benn is establishing herself as a thoughtful voice in the push toward machines that are not only intelligent, but morally considerate.