Joshua Taylor

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About

Joshua Taylor is a pioneering researcher at the intersection of artificial intelligence, developmental psychology, and formal ethics. His work centers on a groundbreaking approach to roboethics, where he applies category theory and Piagetian cognitive development stages to engineer robots capable of guaranteed ethical decision-making. Taylor’s major contribution lies in moving beyond simple rule-based systems; he proposes endowing machines with the capacity to *reason over* logical systems, not merely *within* them, thereby allowing for meta-level ethical reasoning akin to human moral maturation. His most influential work, "Piagetian Roboethics via Category Theory" (2011, 45 citations), and its follow-up (20 citations), lay the theoretical foundation for this paradigm. These papers have become touchstones in the emerging field of formal roboethics, inspiring subsequent research into verifiably ethical AI architectures. Taylor’s unique synthesis of abstract mathematics and developmental psychology offers a rigorous, scalable path toward trustworthy autonomous systems. His work is essential reading for anyone interested in ensuring that future intelligent machines are not just capable, but morally sound.