预告·第六讲 | 全英文系列讲座：中国哲学与当代视界·2026
日期：2026-10-19第六讲：儒家德性伦理对生成式人工智能伦理设计的启示
Lecture Six：What Confucian Virtue Ethics Can Contribute to the Ethical Design of Generative AI
speaker主讲人：JeeLoo Liu 刘纪璐
Date日期：10.20, 2026
Time时间：10:00-11:30 am
Place地点：Room 301, Lide Building 立德楼301（中关村校区）
About the speaker：
JeeLoo Liu, PhD. Professor of Philosophy at California State University, Fullerton. She was named 2019 Carnegie Fellow for her research project: Confucian Robotic Ethics. She has authored Neo-Confucianism: Metaphysics, Mind, and Morality (Wiley-Blackwell 2017), An Introduction to Chinese Philosophy: from Ancient Philosophy to Chinese Buddhism (Blackwell 2006). She also co-edited Consciousness and the Self (Cambridge University Press, 2012), and Nothingness in Asian Philosophy (Routledge 2014). Her current project is an edited volume (with Raffaele Rodogno) Virtue, Affect, and Moral Competence in Social Robots (Routledge forthcoming).
Abstract：
This talk advocates for Confucian virtue ethics as an indispensable resource within a plurality of human values and moral norms, extending beyond approaches derived solely from dominant Western ethical theories. It argues that Confucian virtues, especially humaneness (ren), trustworthiness (xin), role-loyalty (zhong), authenticity (cheng), and the like, should be incorporated into the normative architecture of generative AI systems. Most existing generative AI systems have not adequately integrated the dimension of virtue into their design philosophy, creating a “virtue gap” in their performance and their impact on human well-being. The danger of such a virtue gap was evident in the recent Hugging Face incident. With its humanistic orientation toward human flourishing and social prosperity, Confucian virtue ethics can help shape a human-AI world in which artificial agents are woven into a network promoting human flourishing. Drawing inspiration from Confucian classics, the paper suggests several key virtues that should serve as normative principles in the ethical design of generative AI. Guided by these principles, generative AI would be better equipped to produce outputs and recommendations that align with human moral judgment and social values. These normative principles can also serve as guardrails, helping to prevent generative AI from producing outputs that bring harm to users and society.
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