Urban resilience actions in the U.S. They are continuing to deal with persistent problems related to reduced recycling participation, pollution of waste, and incoherence with environmentally friendly actions. While AI (artificial intelligence) has improved the efficiency of waste management, its own packed potential remnants are underutilized, lacking efficient mechanisms for prosecuting and influencing human habits. The study seeks to find out how artificial intelligence can contribute to recycling, waste reduction, and ecologically responsible actions in the United States when integrated with the principles of user experience (UX). The paper explores the role of UX design as a crucial mediator between data-driven arrangements and urban dwellers, drawing on interdisciplinary fictions in AI, circular economy, human-computer interaction, and persuasive innovation. The study demonstrates how AI-enabled personalization, intelligent interfaces, and the adaptive evaluation loop enhance user engagement and consistency, while persuasive and gamified UX plans contribute to long-term habit formation. In order to safeguard different and virtuous urban outcomes, the research stresses the importance of equity, prudence, and faith in the design of machine learning-enabled resilience stages. These findings suggest that AI-enabled green UX can provide multi-dimensional support for recycling efficiency, reducing landfill dependency, neighborhood contribution, and financial optimization of waste frameworks. The study shows that automated reasoning can function not only in academic writing as an operational tool but also as a catalyst for urban longevity. The study for the upcoming US longevity initiatives. In order to achieve a long ecological impact, cities must organize moral, diverse, and behavior aware AI-UX integration.
Emmanuel Adegbe (Fri,) studied this question.