RASHID MUSHKANI

Rashid Mushkani is an Afghan-Canadian researcher, architect, and educator with expertise in urban planning, artificial intelligence, and participatory design. His work focuses on integrating AI technologies into urban planning processes, exploring how these tools can contribute to creating inclusive and accessible public spaces. He is currently a PhD candidate at the University of Montreal, where his research emphasizes responsible AI development, co-production of knowledge, and the intersection of technology and community values.

Mushkani's academic background includes a Master of Engineering in Architecture and Urban Planning from Toyohashi University of Technology in Japan, where he examined socio-spatial equity in urban public parks. His professional experience encompasses architectural design, urban conservation, and public space revitalization projects with the Aga Khan Development Network. From 2017 to 2022, he served as an Assistant Lecturer at Kabul University, teaching courses on environmental behavior, urban design, and architectural conservation.

His recent projects include StreetReview, a doctoral initiative employing AI to evaluate streetscape quality, and the Artificial Intelligence Alignment for Inclusion (AIAI) project, which develops community-annotated datasets to align AI outputs with diverse perspectives. He collaborates with organizations such as ICCAR-UNESCO and Mila - Quebec Artificial Intelligence Institute on issues of spatial inclusion and AI ethics in urban design.