Thiago Hersan
Thiago Hersan is an artist, engineer and Assistant Professor at Parsons School of Design, developing research and curriculum centered on Machine Learning and other automated approaches to data visualization. His recent work has focused on developing equitable and open source tools for art, architecture and urbanism applications. He has been a resident at Delfina Foundation, a researcher at FACT Liverpool and his works have been shown in exhibitions at the MUDAC in Lausanne, Science Gallery in Dublin and SESC São Paulo.
Articles of Thiago Hersan
Cássia Hosni, Giselle Beiguelman, Meta-Acervos and New Interpretations Emerging from Error
This visual essay examines the application of image classification and object detection algorithms to collections of drawings and paintings from Brazilian museums using Meta-Acervos, a platform that employs artificial intelligence models to analyze, organize and visualize artworks according to institutional, technical, chronological and visual descriptors. Rather than emphasizing the system’s accuracy, the essay focuses on its errors and on the potential for new readings afforded by ambiguity and interpretations not predicted by the program. We argue that this act of playing with errors and information not predicted within the logic of artificial intelligence models points to broader questions of agency and human intention in a world increasingly structured by apparatuses.
