Can AI Reason Through Zoning? How AI Navigates Complex Rules

Xiaofan Liang is an Assistant Professor of Urban and Regional Planning at Taubman College of Architecture & Urban Planning, University of Michigan – Ann Arbor. Liang is also affiliated with Michigan Institute for Data & AI in Society, UM Center for the Study of Complex Systems, and Science, Technology, and Public Policy Program. Liang is passionate about helping cities better understand and govern the complex networks and technologies that shape urban life. Liang’s research examines how network infrastructures such as mobility, social, and digital systems, as well as emerging AI technologies, shape, support, or hinder how cities function, how they are governed, and how residents experience everyday urban life.