The field of smart cities and disaster management is witnessing a significant shift towards the adoption of Generative AI (GenAI) technologies. GenAI is being leveraged to enhance the potential of smart cities by processing multimodal content and generating novel outputs, such as text and simulations, to improve urban life and operations. The technology is also being applied to disaster management, enabling rapid and efficient damage assessment and response. Researchers are exploring the use of GenAI in various urban subsystems, including conversational interfaces for critical user archetypes, and auditing damage labels derived from satellite and drone imagery to improve the reliability of machine learning damage assessment systems. Noteworthy papers in this area include:

• Opportunities and Applications of GenAI in Smart Cities: A User-Centric Survey, which provides a comprehensive review of GenAI techniques for smart cities from the lens of critical users.
• Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery, which audits damage labels derived from coincident satellite and drone aerial imagery and finds significant label disagreement.
• AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques, which presents a comprehensive review of the prospects of AI and GenAI in damage assessment for various natural disasters.