Gerui Wang

Gerui Wang is a Lecturer at Stanford University Center for East Asian Studies. She teaches classes on media, art, and AI, as well as art and ecology. Her course on art and AI has received the 2024 Stanford Teaching Advancement Award. She was selected to be part of the Stanford Course Design Institute. Her research interests span arts, public policy, environment, and technologies. Gerui leads a digital humanities project: Storytelling with AI, reinterpreting classics and historical art of East Asia using multi-modal AI systems. The project website will be archived by Stanford Libraries. Her first book Landscape, Governance, and Ecology in Chinese Visual Culture, 960-1368CE is forthcoming. The manuscript demonstrates the overlooked ecological thinking in landscape imagery and policy debates that addressed both situations of environmental wellbeing and damage in pre-industrial China. 

Gerui has published in the Journal of Chinese History and Newsletter for International China Studies. Her current research examines digital media, artistic agency, social equity, and human-machine entanglement in the age of AI. Gerui contributes regularly on topics such as AI ethics, AI’s impact on media, society and culture. Her articles appeared in Alan Turing Institute’s AI & Arts Forum, Australian National University’s Center on China in the World, Asia Times, The Wire China, South China Morning Post, and Forbes. She is a frequent speaker on AI and film, as well as AI and humanities education. Her articles on AI and society have been translated into French and Chinese. She is also a member of the Teaching Art History with AI group, an NEH-funded workshop at the University of Pittsburgh. Gerui’s research has received funding support from the Software Sustainability Institute of the University of Edinburgh’s supercomputing center, University of California Professional Development Award, the Mellon Foundation, Freer Fellowships, Liberthal-Rogel Center for Chinese Studies, and among others. Gerui holds a Ph.D. in history of art from the University of Michigan.

Research interests: AI, art, and media; art, ecology, and history, art and digital society in Asia, AI ethics