ARTIFICIAL INTELLIGENCE AND ENVIRONMENTAL SUSTAINABILITY: A MULTIDISCIPLINARY PERSPECTIVE
DOI:
https://doi.org/10.66238/fsrma4Keywords:
Artificial Intelligence, Environmental Sustainability, Climate Change, MultidisciplinaryAbstract
Artificial Intelligence (AI) has emerged as a transformative force across multiple domains, and its application in environmental sustainability is particularly significant for developing nations such as Pakistan. By integrating computer science, environmental studies, and policy frameworks, AI offers innovative solutions for resource optimization, climate monitoring, pollution control, and renewable energy management. This paper explores the multidisciplinary intersection of AI and environmental sustainability, highlighting practical applications, ethical considerations, and future challenges. Graphical analyses illustrate the impact of AI adoption in sustainable development, comparing energy efficiency, pollution monitoring, water resource management, and waste reduction. The study emphasizes that AI, when used responsibly, can contribute substantially toward achieving the United Nations Sustainable Development Goals (SDGs).
References
Irk, E. (2025). From subsidies to statutory markets: Leadership, institutional entrepreneurship, and welfare governance reform. Lex Localis - Journal of Local Self-Government, 23(S6), 9549–9566. https://doi.org/10.52152/s59sjh53
Ahmad, N. R. (2026). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. Lex Localis - Journal of Local Self-Government, 24(S1), 99–117. https://doi.org/10.52152/wja5db40
Toor, M. J., Shabbir, S., Rauf, A., Nisar, A., Safdar, S., & Zaib-Un-Nisa. (n.d.). The role of structured-communication-technique in developing pragmatic language capability among ASD-children. https://doi.org/10.63878/cjssr.v3i2.785
Toor, M. J., Mehmood, H., Yasmeen, A., Honey, Q., Waseem, M., & Wasif, M. (n.d.). Exploring the effect of verbal encouraging phrases (VEP) on Chinese language learners’ academic achievement at university level.
Toor, M. J., Arafat, M., Ayoub, M., Ali, M., & Alessi Longa, F. E. (n.d.). From coherent self to fragmented persona: Digital identity fragmentation and academic self-concept among Generation Z, with comparative insights from Generation Alpha. https://doi.org/10.63878/cjssr.v4i2.2318
Katsitadze, N., Kharadze, N., & Pirtskhalaishvili, D. (2025). The impact of social media on students’ effective time management. Baltic Journal of Economic Studies, 11(1), 200–210. https://doi.org/10.30525/2256-0742/2025-11-1-200-210
Toor, M. J., Zafar, S., Omer, F., Sarwar, M., & Hussain, A. K. (n.d.). Teachers’ perspectives on effectiveness of translanguaging in enhancing English language learning at secondary school level.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Muhammad Imran
This work is licensed under a Creative Commons Attribution 4.0 International License.
License Terms (Recommended – CC BY 4.0)
All articles published in Fundamental Scientific Reports in Multidisciplinary Areas are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are properly cited. Users are allowed to copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial use, as long as appropriate credit is given.
Authors retain copyright of their work while granting the journal the right of first publication. The journal provides immediate open access to its content on the principle that making research freely available supports a greater global exchange of knowledge.
For more information about this license, visit:
https://creativecommons.org/licenses/by/4.0/
