Smart Cities and Urban Sustainability With AI

Abstract

Artificial intelligence (AI) is revolutionizing urban settings by improving traffic management, energy efficiency, waste reduction, and recycling. AI-powered traffic management systems improve urban mobility, optimize traffic signals, and reduce congestion. It also optimizes waste creation and promotes recycling, improving resource management. AI-driven environmental monitoring apps monitor pollution levels in real-time, allowing proactive measures to reduce environmental impact. AI also analyzes critical infrastructure assets, enhancing public services and quality of life. However, challenges arise, such as data privacy and security, algorithmic bias, and the digital divide. To achieve AI's sustainable potential, public understanding and acceptance, regulatory and ethical standards must be addressed. By addressing these challenges, cities can create smarter, more sustainable, and people-first cityscapes.