Paul E. Newton

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About

Paul E. Newton is a leading voice in the ethics of educational technology and artificial intelligence. His research centers on the responsible design and deployment of automated systems in learning environments, with a particular focus on the moral and practical implications of using robots as teachers. Newton’s most-cited work, “When robots teach: towards a code of practice” (2019), has garnered 7 citations and stands as a foundational piece in the emerging field of robo-ethics in education. In this paper, he draws on Isaac Asimov’s fictional “Three Laws of Robotics” to propose a real-world ethical framework for educational robots, addressing issues of trust, transparency, and student welfare. Newton’s contributions are notable for bridging science fiction with pressing contemporary concerns, offering a practical code of practice that anticipates the rapid integration of AI into classrooms. His work is essential reading for researchers and policymakers navigating the intersection of pedagogy, automation, and ethics.