About
Dr. Qin Zhu studies one of the defining questions of our time: how can emerging technologies such as artificial intelligence advance society while preserving what makes us human. His interdisciplinary research examines the human dimensions of AI, bringing together information science, ethics, education, and technology to better understand how intelligent systems can support people while promoting human well-being ethical decision-making and responsible innovation. At the heart of Zhu’s work is a broader question of how intelligent technologies reshape human values, relationships, learning, and what it means to flourish in a technological age.
His research spans human-centered AI, AI ethics, information ethics, human-robot interaction, and AI literacy, all united by a common goal of understanding how intelligent systems can enhance human agency, strengthen ethical decision-making, and contribute to human flourishing Through his research, Zhu seeks to ensure that innovation is guided not only by technical advancement but also by ethical principles and a commitment to the public good.
Impact Beyond the University
Zhu’s scholarship has contributed to national and international efforts to advance responsible AI and technology governance through research, education, and public engagement. Supported by more than $5 million in external funding from organizations including the National Science Foundation, the Air Force Office of Scientific Research, the Templeton Foundation, and the Lilly Endowment, his research has advanced ethical approaches to AI across education, engineering, and society.
Beyond his academic work, Zhu partners with schools, libraries, nonprofit organizations, policymakers and industry leaders to develop accessible AI literacy and ethics programs for learners of all ages. Through public lectures, workshops and professional leadership, he helps communities better understand the opportunities and challenges of emerging technologies while encouraging more thoughtful and responsible innovation.
A Passion for Teaching and Technological Responsibility
Zhu believes preparing students for the future means encouraging students to ask not only what AI can do, but what it should do, who it should serve, and how emerging technologies can contribute to a more just and flourishing society. He creates an inclusive and collaborative learning environment where students are encouraged to explore complex questions and consider the ethical implications of technology alongside its technical possibilities.
His goal is to equip the next generation with the knowledge, critical thinking, and ethical judgment needed to shape a future where technology serves humanity.