Artificial Intelligence for Climate and Environmental Governance: A Review

International Journal of Electronics and Communication Engineering
© 2025 by SSRG - IJECE Journal
Volume 12 Issue 12
Year of Publication : 2025
Authors : Vivek Krishna Tiwari, Lakshmi Priya Vinjamuri, Rahul Mahala, Rajesh Pant, Rajesh Singh, Anita Gehlot
pdf
How to Cite?

Vivek Krishna Tiwari, Lakshmi Priya Vinjamuri, Rahul Mahala, Rajesh Pant, Rajesh Singh, Anita Gehlot, "Artificial Intelligence for Climate and Environmental Governance: A Review," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 12, pp. 1-10, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I12P101

Abstract:

A sustainable, clean, and healthy environment is necessary for the basic human rights like health, water, housing, life, and food. Recognising it as a separate right would draw a significant step forward in international human rights law. Clean water, air, a healthy ecosystem, and fertile soil are essentials for health and life. Also, many countries have recognised the right to a healthy environment as a constitutional right in their constitution. The study aims to examine the right to a clean environment in India and the impact of climate change on it. It also analyses the applications, challenges, and opportunities of integrating Artificial Intelligence in climate action and environmental governance. Artificial Intelligence can transform environmental governance in India by enabling real-time monitoring, predictive analytics, and proactive interventions to combat pollution and climate risks. Despite challenges like data quality and inclusivity, AI-driven collaboration fosters stronger laws, equitable resources, and sustainable development, securing citizens’ right to a healthy environment.

Keywords:

Artificial Intelligence, Environmental Governance, Predictive Analytics, Climate Resilience, Pollution Monitoring.

References:

[1] Take Urgent Action to Combat Climate Change and its Impacts, United Nation. [Online]. Available: https://sdgs.un.org/goals/goal13
[2] Ke Tang, and Otto Spijkers, “The Human Right to a Clean, Healthy and Sustainable Environment,” Chinese Journal of Environmental Law, vol. 6, pp. 87-107, 2022.
[Google Scholar] [Publisher Link]
[3] David R. Boyd, “The Implicit Constitutional Right to Live in a Healthy Environment,” Review of European Community & International Environmental Law, vol. 20, no. 2, pp. 171-179, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Gitanjali Nain Gill, “Human Rights and the Environment in India: Access through Public Interest Litigation,” Environmental Law Review, vol. 14, no. 3, pp. 200-218, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Pragya Nema, Sameer Nema, and Priyanka Roy, “An Overview of Global Climate Changing in Current Scenario and Mitigation Action,” Renewable and Sustainable Energy Reviews, vol. 16, no. 4, pp. 2329-2336, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Richard S.J Tol, and Roda Verheyen, “State Responsibility and Compensation for Climate Change Damages-A Legal and Economic Assessment,” Energy Policy, vol. 32, no. 9, pp. 1109-1130, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Aniruddh Mohan, and Timon Wehnert, “Is India Pulling its Weight? India’s Nationally Determined Contribution and Future Energy Plans in Global Climate Policy,” Climate Policy, vol. 19, no. 3, pp. 275-282, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Emran Alotaibi, and Nadia Nassif, “Artificial Intelligence in Environmental Monitoring: in-Depth Analysis,” Discover Artificial Intelligence, vol. 4, pp. 1-26, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Márcia R.C. Santos, and Luísa Cagica Carvalho, “AI-Driven Participatory Environmental Management: Innovations, Applications, and Future Prospects,” Journal of Environmental Management, vol. 373, pp. 1-10, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Tymoteusz Miller et al., “Integrating Artificial Intelligence Agents with the Internet of Things for Enhanced Environmental Monitoring: Applications in Water Quality and Climate Data,” Electronics, vol. 14, no. 4, pp. 1-44, 696, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[11] B. Tjahjono et al., “What Does Industry 4.0 Mean to Supply Chain?,” Procedia Manufacturing, vol. 13, pp. 1175-1182, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[12] John H. Holmes et al., “Artificial Intelligence in Medicine,” 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Simon Elias Bibri, Jeffrey Huang, and John Krogstie, “Artificial Intelligence of Things for Synergizing Smarter Eco-City Brain, Metabolism, and Platform: Pioneering Data-Driven Environmental Governance,” Sustainable Cities and Society, vol. 108, pp. 1-21, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Alonso Leal et al., “Enhancing Environmental Governance: A Text-Based Artificial Intelligence Approach for Project Evaluation Involvement,” Environmental Impact Assessment Review, vol. 110, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[15] David B. Olawade et al., “Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions,” Hygiene and Environmental Health Advances, vol. 12, pp. 1-16, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Xiaheng Zhang et al., “Research on Deep Integration of Application of Artificial Intelligence in Environmental Monitoring System and Real Economy,” Environmental Impact Assessment Review, vol. 86, pp. 1-14, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Engineer Bainomugisha et al., “AI-driven Environmental Sensor Networks and Digital Platforms for Urban Air Pollution Monitoring and Modelling,” Societal Impacts, vol. 3, pp. 1-6, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Mattew A. Olawumi, and Bankole I. Oladapo, “AI-driven Predictive Models for Sustainability,” Journal of Environmental Management, vol. 373, pp. 1-12, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Prernaa Sharma et al., “Artificial Intelligence in Environmental Conservation: Predictive Analytics for Pollution Control,” 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India, pp. 1-5, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Samira Yeasmin et al., “Artificial Intelligence-based CO2 Emission Predictive Analysis System,” 2020 International Conference on Artificial Intelligence & Modern Assistive Technology (ICAIMAT), Riyadh, Saudi Arabia, pp. 1-6, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Boyle Alan, Human Rights and the Environment: Where Next?, 1st ed., Challenges In International Human Rights Law, pp. 765-794, 2014.
[Google Scholar] [Publisher Link]
[22] Lacey M. Sloan, and Cathryne L. Schmitz, “Environmental and Climate Justice—Protecting Human and Ecological Rights,” Journal of Human Rights and Social Work, vol. 10, pp. 223-226, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Lea Berrang-Ford, James D. Ford, and Jaclyn Paterson, “Are we Adapting to Climate Change?,” Global Environmental Change, vol. 21, no. 1, pp. 25-33, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Katharina Waha et al., “Climate Change Impacts in the Middle East and Northern Africa (MENA) Region and their Implications for Vulnerable Population Groups,” Regional Environmental Change, vol. 17, pp. 1623-1638, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Bethuel Sibongiseni Ngcamu, “Climate Change Effects on Vulnerable Populations in the Global South: A Systematic Review,” Natural Hazards, vol. 118, pp. 977-991, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Karan L. Akerlof et al., “Vulnerable Populations Perceive their Health as at Risk from Climate Change,” International Journal of Environmental Research and Public Health, vol. 12, no. 12, pp. 15419-15433, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Purabi Bose, “Climate Adaptation: Marginal Populations in the Vulnerable Regions,” Climate and Development, vol. 9, pp. 575-578, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Atif Khurshid Wani et al., “Environmental Resilience Through Artificial Intelligence: Innovations in Monitoring and Management,” Environmental Science and Pollution Research, vol. 31, pp. 18379-18395, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Shankar Subramaniam et al., “Artificial Intelligence Technologies for Forecasting Air Pollution and Human Health: A Narrative Review,” Sustainability, vol. 14, no. 16, pp. 1-36, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Ufondu Maryann Afoma et al., “Integrating Artificial Intelligence in Environmental Monitoring: A Paradigm Shift in Data-Driven Sustainability,” EcoHealth, pp. 1-20, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Kadukothanahally Nagaraju Shivaprakash et al., “Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India,” Sustainability, vol. 14, no. 12, pp. 1-20, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Aman Srivastava, and Rajib Maity, “Assessing the Potential of AI–ML in Urban Climate Change Adaptation and Sustainable Development,” Sustainability, vol. 15, no. 23, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Pavan Kumar Shukla et al., “Air Pollution Monitoring by Indulging AI and IoT for Environmental Protection,” 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India, pp. 1161-1165, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Silvia Liberata Ullo, and G.R. Sinha, “Advances in Smart Environment Monitoring Systems using IoT and Sensors,” Sensors, vol. 20, no. 11, pp. 1-18, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Frank Biermann, “Big Science, Small Impacts—in the South? The Influence of Global Environmental Assessments on Expert Communities in India,” Global Environmental Change, vol. 11, no. 4, pp. 297-309, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Saki Gerassis et al., “AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector using AutoML and Bayesian Modeling,” Applied Sciences, vol. 11, no. 17, pp. 1-15, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Nafees Ahmad, Climate Change-Induced Disaster Displacement and Law in India: Positioning the Operationalization of Artificial Intelligence for Protecting Human Rights, Climate-Related Human Mobility in Asia and the Pacific: Interdisciplinary Rights-Based Approaches, pp. 121-139, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Ashima Bhatnagar Bhatia, Meghna Sharma, and Bhupesh Bhatia, AI and Environmental Data Science, Artificial Intelligence‐Driven Models for Environmental Management, pp. 71-97, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Josh Cowls et al., “The AI Gambit: Leveraging Artificial Intelligence to Combat Climate Change—Opportunities, Challenges, and Recommendations,” AI & Society, vol. 38, pp. 283-307, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Junyan Wu, and Wenjun Tang, “The Role of Environmental Law in Ecological Resources Protection under the Background of Wireless Communication and Artificial Intelligence,” Scientific Programming, vol. 2022, no. 1, pp. 1-7, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[41] Arild Underdal, “Complexity and Challenges of Long-Term Environmental Governance,” Global Environmental Change, vol. 20, no. 3, pp. 386-393, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Coco Cullen-Knox et al., “Contemporary Challenges in Environmental Governance: Technology, Governance and the Social Licence,” Environmental Policy and Governance, vol. 27, no. 1, pp. 3-13, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Martín Tironi, and Diego Ignacio Rivera Lisboa, “Artificial Intelligence in the New Forms of Environmental Governance in the Chilean State: Towards an Eco-Algorithmic Governance,” Technology in Society, vol. 74, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Ruth Machen, and Warren Pearce, “Anticipating the Challenges of AI in Climate Governance: An Urgent Dilemma for Democracies,” Wiley Interdisciplinary Reviews: Climate Change, vol. 16, no. 2, pp. 1-18, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[45] Victor Galaz et al., ‘Planetary Boundaries’—Exploring the Challenges for Global Environmental Governance,” Current Opinion in Environmental Sustainability, vol. 4, no. 1, pp. 80-87, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Huiqing Han et al., “Application of Artificial Intelligence in Ecosystem Services Research: Current Status, Challenges, and Prospects,” Contemporary Problems of Ecology, vol. 18, pp. 589-602, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Supaprawat Siripipatthanakul et al., “Artificial Intelligence (AI) Influencing Sustainable Governance: Governance Adopting AI,” International Conference on Data Analytics & Management, pp. 551-568, 2024.
[CrossRef] [Google Scholar] [Publisher Link]