Abstract:

Artificial intelligence (AI) has emerged as a transformative force in the construction industry, offering innovative solutions to enhance efficiency, sustainability, and decision-making. This paper explores how AI contributes to achieving the United Nations' Sustainable Development Goals (SDGs) by optimizing resource management, improving safety, and reducing environmental impact. Through a systematic literature review, the study examines AI applications across various construction phases, including planning, design, construction, and operation and maintenance. The findings highlight AI’s significant role in SDGs 6 (Clean Water and Sanitation), 7 (Affordable and Clean Energy), 8 (Decent Work and Economic Growth), 9 (Industry, Innovation, and Infrastructure), 11 (Sustainable Cities and Communities), 12 (Responsible Consumption and Production), 13 (Climate Action), 15 (Life on Land), and 17 (Partnerships for the Goals). Challenges such as data privacy, ethical concerns, workforce adaptation, and high implementation costs are also discussed. The study underscores the need for structured AI adoption strategies to maximize its potential in fostering sustainable construction practices. Future research should focus on case studies, policy development, and interdisciplinary collaborations to drive AI-driven sustainability in the construction sector.

Keywords:

Artificial Intelligence, Sustainable Development Goals, Construction Industry, Smart Cities, Machine Learning, Green Construction, Digital Transformation, AI in Construction

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