Artificial Intelligence, Sustainability, and Environmental Governance: Emerging Trends and Future Directions

Maimuna Tasnim Nusaiba; Kawsher Rahman

doi:10.18034/apjee.v10i1.803

Authors

Maimuna Tasnim Nusaiba Department of Computer Science & Engineering, Jahangirnagar University, Bangladesh
Kawsher Rahman In-Charge and RMO, Beanibazar Cancer and General Hospital, Sylhet, Bangladesh

DOI:

https://doi.org/10.18034/apjee.v10i1.803

Keywords:

Artificial Intelligence, Sustainability, Environmental Governance, Climate Resilience, Machine Learning, Sustainable Development, Digital Governance, Internet of Things, Environmental Management, Smart Technologies

Abstract

Artificial intelligence (AI) is increasingly recognized as a strategic technology for addressing sustainability and environmental governance challenges. This review examines the evolving relationship between AI, sustainability, and environmental governance by synthesizing recent multidisciplinary literature. The study discusses how AI contributes to sustainable resource management, environmental monitoring, climate resilience, digital governance, and organizational decision-making. It further explores emerging technological trends, including the integration of AI with machine learning, the Internet of Things (IoT), big data analytics, and intelligent decision-support systems. In addition, the review identifies major implementation challenges associated with ethical governance, algorithmic transparency, data privacy, cybersecurity, institutional capacity, and regulatory development. The findings suggest that AI has significant potential to improve environmental performance, strengthen evidence-based policymaking, and support sustainable development across public and private sectors. However, realizing these benefits requires responsible governance frameworks, interdisciplinary collaboration, and continuous investment in research, digital infrastructure, and human capacity. The review concludes that AI should be viewed not merely as a technological innovation but as an enabling platform for achieving long-term environmental sustainability, climate resilience, and effective governance. The study provides practical insights for researchers, policymakers, practitioners, and organizations seeking to integrate AI into sustainable environmental management and governance strategies.

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