The role of artificial intelligence technologies in protecting the environment and enhancing its sustainability
Main Article Content
Abstract
This study explores the role of artificial intelligence (AI) technologies in protecting the environment and enhancing its sustainability. AI technologies can perform specific environmental tasks to improve, preserve, and enhance the sustainability of environmental elements, and to provide effective environmental solutions. Hence, this study aims to reveal the essence of AI by explaining its concept, importance, and advantages. It also aims to explore its applications in environmental protection, as well as the ethics, risks, and balances associated with its use in the environment. To address this topic systematically, the study adopted a descriptive and analytical approach, because it is suitable for facilitating the process of examining the subject, and it leads to accurate scientific results that enhance understanding of the role of AI systems in protecting and enhancing environmental sustainability. The study concluded that AI is an effective tool for preserving the environment and supporting sustainability efforts by improving natural resource management, reducing emissions, and monitoring climate change with high accuracy. Finally, the study recommends strengthening environmental legislation and policies that regulate the use of AI technologies to ensure the protection of the environment and natural resources. It also recommends developing green, low-energy algorithms to reduce the carbon footprint of data centers and smart systems, in addition to integrating environmental ethics standards into the design and application of AI systems in order to ensure respect for privacy and social justice.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This open-access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
You are free to: Share — copy and redistribute the material in any medium or format. Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
How to Cite
Share
References
Abu Bakr Khawaled. (2019). Artificial intelligence applications as a modern approach to enhancing the competitiveness of business organizations. Arab Democratic Center for Strategic, Political, and Economic Studies.
Amer, A.B., Alhendi, N.I. (2024), Right of attribution in digital children's literature International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 16, No. 4, 4 DOI: 10.1504/IJESDF.2024.139703
Al Qudah, M., Al-Shawabkeh, I., Alkrisheh, M., Abu-Zeitoun, M., & Zaqibh, A. (2025). The best interests of juveniles: Evaluating Jordanian juvenile law against the Convention on the Rights of the Child. Access to Justice in Eastern Europe, 8(3).
Al-Da'aja, B. (2025). The legal personality of artificial intelligence: A comparative study in civil legislation. Dar Al-Thaqafa Publishing.
Al-Darandali, K. (2020). Artificial intelligence and the environment. Zagazig University.
Alhendi, N., & Salameh, M. (2023). Environmental pollution crime. Journal of Environmental Management and Tourism, 14(1), 176–180.
Alhendi, N., & Salameh, M. H. (2022). The role of the public administration in protecting the environment from pollution. Journal of Environmental Management and Tourism, 13(7), 1835–1839.
Alhendi, N., Baniamer, A., Alsalamat, N., Salameh, M., & Alanazi, H. (2024). Emoji crimes on social media applications. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2024.2374421
ALHENDI, N., & SALAMEH, M. (2022). The Role of the Public Administration in Protecting the Environment from Pollution. Journal Of Environmental Management And Tourism, 13(7), 1835 - 1839. doi:10.14505/jemt.v13.7(63).03
Alhendi, N., Baniamer, A. (2020), Linguistic fingerprint between western and Arabic judicial applications. Dirasat Human and Social Sciences, 47(4), pp. 121–133.
Alhendi, N., Baniamer, A. (2024). Referential gaps between Arabic and English. Frontiers in Education, 9, 1384130
Alhendi, N., Salameh, M. (2023). Environmental Pollution Crime. Journal of Environmental Management and Tourism, 2023, 14(1), pp. 176–180. DOI: 10.14505/jemt.14.1(65).17
Alhendi, N.I., Amer, A.M.B., Sharkawy, M.K.M. (2023). Navigating Gender Rights: An Analysis of Arabic Language and Society. Pakistan Journal of Criminology, 15(2 Special Issue), pp. 373–385.
Al-Mulla, M. (2020). Employing artificial intelligence technology in combating corruption: Between the possible and the aspirational: A descriptive study in the field of criminal law. Kuwait International Law School Journal, (8).
Al-Qahtani, A. (2022). The role of artificial intelligence in achieving sustainable development within the framework of the Kingdom of Saudi Arabia’s Vision 2030. Arab Journal of Informatics and Information Security, 3(9). Arab Foundation for Education, Science and Arts.
Alhendi N and Baniamer A (2026) Environmental criticism in light of environmental law legislation. Front. Environ. Sci. 14:1807424. doi: 10.3389/fenvs.2026.1807424
Al-Shawabkah, I. (2010). Sales tax law in Jordan: Questions of legality and propriety. Arab Law Quarterly.
Al-Shawabkeh, I. (2016). Disabled persons under the Jordanian sales tax and customs laws: Favourable
Al-Wali, A. (2021). Civil Liability for Damages Caused by Artificial Intelligence. Applications in UAE Law. United Arab Emirates: Dar Al-Nahda Al-Arabiyya.
Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024). Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review. Environmental Science and Ecotechnology, 19, 100330.
Baniamer, A., & Issa Allendi, N. (2024). Fantasizing history between subjectivity and objectivity. Cogent Arts & Humanities, 11(1). https://doi.org/10.1080/23311983.2024.2335787
Chen, C., Hu, Y., Karuppiah, M., & Kumar, P. M. (2021). Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies. Sustainable Energy Technologies and Assessments, 47, 101358.
Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., Brass, I., & Levy, K. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society, 67, 101741.
Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2023). Understanding the potential applications of artificial intelligence in the agriculture sector. Advanced Agrochem, 2(1), 15–30.
Kar, A. K., Choudhary, S. K., & Singh, V. K. (2022). How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production, 376, 134120.
Khalifa, E. (2019). Artificial intelligence: Features and repercussions of the dominance of intelligent machines in human life. Future Studies, (6). Abu Dhabi.
Khan, A. A., Laghari, A. A., Rashid, M., Li, H., Javed, A. R., & Gadekallu, T. R. (2023). Artificial intelligence and blockchain technology for secure smart grid and power distribution automation: A state-of-the-art review. Sustainable Energy Technologies and Assessments, 57, 103282.
Leal Filho, W., Wall, T., Mucova, S. A. R., Nagy, G. J., Balogun, A. L., Luetz, J. M., & Gandhi, O. (2022). Deploying artificial intelligence for climate change adaptation. Technological Forecasting and Social Change, 180, 121662.
Madhkour, M., & Malika. (2021). Artificial intelligence and the future of distance learning. Studies in Development and Society, 6(3).
Pachot, A., & Patissier, C. (2022). Towards sustainable artificial intelligence: An overview of environmental protection uses and issues. arXiv Preprint, arXiv:2212.11738.
Sabaa, A. (2019). Applying artificial intelligence strategies at the international level: The United Arab Emirates as a model. Al-Mayadeen Economic Journal, 1(1).
Yigitcanlar, T., Mehmood, R., & Corchado, J. M. (2021). Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures. Sustainability, 13(16), 8952.
Yuan, H., Yin, Z., Zhao, C., Yang, Z., Gao, S., Zhao, S., & Fang, Y. (2020, October). Evaluation of smart environmental protection systems and novel UV-oriented solutions for integration, resilience, inclusiveness and sustainability. In 2020 5th International Conference on Universal Village (UV) (pp. 1–77). IEEE.
Zhao, L., Dai, T., Qiao, Z., Sun, P., Hao, J., & Yang, Y. (2020). Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse. Process Safety and Environmental Protection, 133, 169–182.