Overview

AI becomes a transformative force for sustaining climate action through smarter, more adaptive tools. As climate challenges grow in scale and complexity, AI analyzes vast datasets, optimizes energy systems, predicts environmental changes, and supports more informed decision-making across industries. From improving renewable energy efficiency to monitoring deforestation and reducing emissions, AI bridges the gap between climate goals and real-world outcomes. By integrating technological innovation with environmental responsibility, AI may improve global efforts to combat climate change. Sustaining Climate Action With AI explores how AI can support climate action and green innovation while advancing the broader goals of sustainable development. It addresses governance, ethics, equity, and environmental trade-offs associated with AI deployment, including energy consumption of AI systems, data justice, and digital divides, examining issues relevant to developing and emerging economies. This book covers topics such as climate change, water management, and decarbonization, and is a useful resource for engineers, policymakers, academicians, researchers, and scientists.

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Dr. Mohieddine Rahmouni, Ph.D., is an Associate Professor of Economics at the Applied College, King Faisal University (Al-Ahsa, Saudi Arabia), and at the High School of Economic and Commercial Sciences of Tunis (ESSECT), University of Tunis, Tunisia. He earned his Ph.D. in Economics through a joint doctoral program between the University of Montesquieu Bordeaux IV (now the University of Bordeaux), France, and the University of Tunis. His research lies at the intersection of innovation economics, applied econometrics, productivity analysis, and industrial dynamics, with a particular focus on economic development and structural transformation in emerging economies. Dr. Rahmouni's scholarly work has been published in reputable international journals such as Structural Change and Economic Dynamics, the Journal of Industrial and Business Economics, and the International Journal of Innovation and Technology Management. His research explores the role of external knowledge sources, the determinants of innovation performance, and the policy mechanisms that influence firm-level productivity and competitiveness. Through rigorous empirical analysis, he contributes to advancing the understanding of how innovation systems and policy frameworks shape economic growth and industrial development in transitioning and emerging markets.

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