16 Human-Centered AI for Adaptive Urban Design: A Multimodal Generative Framework for Sustainable and Inclusive Cities

Abstract

Rapid urbanization presents complex challenges, including environmental degradation, social inequity, and diminished citizen well-being. Traditional urban planning often struggles to adapt to dynamic urban environments and integrate diverse stakeholder needs, leading to static designs that fail to foster sustainable and inclusive communities. While Artificial Intelligence (AI) offers powerful tools for optimization, its application in urban design frequently overlooks human-centric values and participatory processes, resulting in solutions that are technically efficient but socially detached.This paper introduces a novel Human-Centered AI (HCAI) framework designed for adaptive urban space design. Our approach integrates advanced multimodal data fusion techniques with generative design algorithms, underpinned by design thinking methodologies. This framework facilitates an iterative co-creation process, enabling urban planners and designers to collaboratively explore and refine complex design solutions.This research offers a transformative paradigm for urban development, bridging the gap between technological innovation and human-centered design. By fostering participatory design processes and integrating diverse data streams, the HCAI framework provides a robust tool for creating resilient, equitable, and vibrant urban spaces. It contributes significantly to the fields of urban planning, artificial intelligence, and design, offering a scalable and adaptable model for future smart city initiatives focused on sustainable and inclusive growth.