Session

Generative AI is revolutionizing urban planning and management by enabling smarter decision-making, optimized resource allocation, and the development of more sustainable, resilient, and inclusive cities. AI-driven models empower planners, architects, and policymakers to address critical urban challenges—from land use optimization and infrastructure design to participatory governance and climate resilience. This track explores innovative applications of generative AI in urban analysis, synthetic data generation, scenario modeling, and governance, while also examining the ethical implications, biases, and challenges of deploying these technologies in urban contexts.