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This book explores how artificial intelligence is reshaping the design, management, and resilience of critical infrastructure while accelerating progress toward the United Nations Sustainable Development Goals (SDGs) 2030 Agenda. As the world faces pressing challenges related to climate change, rapid urbanization, resource scarcity, and environmental degradation, AI has emerged as a transformative technology capable of enabling smarter, more efficient, and more sustainable engineering solutions.

Bringing together contributions from leading researchers and practitioners, this volume presents cutting-edge advances in AI-driven sustainable infrastructure, environmental systems, digital twins, predictive maintenance, federated learning, cyber-physical systems, intelligent transportation, smart water and energy networks, healthcare infrastructure, and engineering decision support. The book further examines the ethical, social, policy, and human dimensions of AI, emphasizing responsible innovation and inclusive technological development.

The chapters demonstrate how AI can contribute directly to the achievement of several UN Sustainable Development Goals, including SDG 3 (Good Health and Well-being) through intelligent healthcare systems; SDG 6 (Clean Water and Sanitation) through smart water resource management; SDG 7 (Affordable and Clean Energy) through AI-enabled energy optimization; SDG 9 (Industry, Innovation and Infrastructure) by advancing resilient and intelligent infrastructure; SDG 11 (Sustainable Cities and Communities) through smart urban development and mobility; SDG 12 (Responsible Consumption and Production) via resource optimization; SDG 13 (Climate Action) by supporting low-carbon and climate-resilient infrastructure; SDG 16 (Peace, Justice and Strong Institutions) through secure and trustworthy AI-enabled cyber-physical systems; and SDG 17 (Partnerships for the Goals) by promoting interdisciplinary collaboration across engineering, computer science, environmental sciences, and public policy.

Rather than viewing artificial intelligence solely as a technological innovation, this book positions AI as a strategic enabler of sustainable development-supporting data-driven decision-making, improving resource efficiency, strengthening infrastructure resilience, and fostering environmentally responsible engineering practices. By integrating technological innovation with sustainability principles and the global ambitions of the 2030 Agenda for Sustainable Development, the volume provides a timely and comprehensive reference for researchers, academics, engineers, policymakers, industry professionals, and graduate students working at the intersection of artificial intelligence, sustainable infrastructure, and environmental systems.

The book serves as both a scientific reference and a practical roadmap, demonstrating how responsible AI can help build resilient infrastructure, sustainable communities, and a more inclusive, secure, and environmentally sustainable future in alignment with the vision of the United Nations Sustainable Development Goals.