Lia Coleman is a Chinese-American artist and researcher based in Pittsburgh, Pennsylvania. Coleman’s work centers on the interplay of AI technology, art & design, coding, and ethics. They actively conduct research on creative AI at Carnegie Mellon’s Robotics Institute and publish guides for artists to responsibly use machine learning.
Coleman’s work explores themes of collective memory and loss. In assembling datasets, they attempt to record and archive the past — a process which is inherently never complete. They embrace the unpredictability of neural networks, as a reflection of their own experience of grappling with the elusive nature of truth and the past. Coleman is an alum of the Massachusetts Institute of Technology (MIT) and the School For Poetic Computation. They have also served as an adjunct professor at the Rhode Island School of Design (RISD). Their work has been shown internationally in Dubai, Germany, Malta, Saudi Arabia, Canada, and the United States, and has been featured by Vox, Wired, Tribeca Film Festival, Mozilla Festival, Science Gallery Detroit, New York University, the NeurIPS Conference, and Gray Area. Their writing on AI art has been published by Princeton Architectural Press, DISEÑA, and Neocha Magazine.
