John Zerilli

Papers

Total Citations

188

H-Index

About

John Zerilli is a leading voice in the ethics and governance of artificial intelligence, with a particular focus on the psychological and societal dynamics of human-AI interaction. His most influential work, “How transparency modulates trust in artificial intelligence” (2022, 188 citations), has become a cornerstone in understanding the delicate balance between explainability and user confidence in autonomous systems. By dissecting how different forms of transparency—from algorithmic disclosures to performance feedback—shape trust, Zerilli has provided critical insights for designers and policymakers navigating the human-machine frontier. His research bridges cognitive science, philosophy, and computer science, addressing foundational questions about accountability, fairness, and the social implications of AI. Beyond this landmark paper, Zerilli has contributed to debates on algorithmic bias, the limits of machine reasoning, and the ethical design of intelligent systems. His work is widely cited across disciplines, reflecting its impact on both academic theory and practical system development. For students and researchers, Zerilli offers a rigorous yet accessible framework for thinking about how we build, trust, and govern the technologies that increasingly shape our world.