Abstract
This study explores the transformative potential of Artificial Intelligence (AI) in enhancing community engagement in urban regeneration projects. AI’s ability to process large datasets and predict trends is revolutionizing urban planning, fostering more inclusive and responsive urban ecosystems. We employed a bibliometric literature review to analyze existing research, focusing on AI’s role in democratizing decision-making by aggregating and analyzing residents’ opinions. Key findings include AI’s effectiveness in addressing urban issues such as traffic congestion, environmental degradation, and public safety. Despite the benefits, challenges such as data privacy and algorithm transparency are significant. The research advocates for robust policy frameworks and adaptive governance models to ensure equitable benefits. Conclusively, AI can significantly contribute to creating smarter, more resilient, and inclusive urban environments.
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Yang, L., Hassan, A. S., & Arab, Y. (2025). Community-centric AI applications in Urban renewal. Al-Qadisiyah Journal for Engineering Sciences, 18(4), 397–402. https://doi.org/10.30772/qjes.2025.155912.1454
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