AI-Powered Solutions for Sustainable Development: A Roadmap to Achieving Global Goals

Book: Intersectionality Between Climate Change and Sustainable Development Goals: A Socio-Legal Perspective from India by CSMFL Publications

by Dr. Ivneet Kaur Walia1 & Chaitali Gupta2
1Associate Professor of Law, Registrar (Officiating), Rajiv Gandhi National University of Law, Patiala, Punjab, India; 2Research Assistant, Centre for Criminology, Criminal Justice and Victimology, Rajiv Gandhi National University of Law, Patiala, Punjab, India.
10.46679/9788196780524ch13
This chapter is a part of: Intersectionality Between Climate Change and Sustainable Development Goals: A Socio-Legal Perspective from India
ISBN (Ebook):978-81-967805-2-4
ISBN (Hardcover Print):978-81-967805-0-0
ISBN (Softcover Print):978-81-967805-3-1

© CSMFL Publications & its authors.
Published: August 28, 2025

Walia, I. K., & Gupta, C. (2025). AI-Powered Solutions for Sustainable Development: A Roadmap to Achieving Global Goals. In N. Chaudhary & S. Chaturvedi, Intersectionality Between Climate Change and Sustainable Development Goals: A Socio-Legal Perspective from India (pp 211-227). CSMFL Publications.
https://dx.doi.org/10.46679/9788196780524ch13

Abstract

AI has revolutionized the world, replacing traditional methods and reshaping industries. It has become an essential force in achieving the SDGs, which aim to meet present needs without compromising future generations. AI’s advancements overshadow conventional sustainability methods, ensuring that various global goals are not compromised. Despite skepticism regarding AI’s development, its impact on sustainability is undeniable. However, there is a lack of comprehensive studies and regulatory mechanisms to assess AI’s direct role in extending SDGs. AI has fostered growth across multiple sectors, including global productivity, environmental management, inclusivity, and social equity. AI’s influence on sustainability could lead to either a utopian future where humans and machines coexist harmoniously, or a dystopian scenario filled with challenges and suffering. This chapter examines AI’s potential to empower or hinder the 17 SDGs by analysing secondary research and existing studies. It discusses AI’s contemporary relevance and its impact on intergenerational justice, social equity, and the balance between ecology and technological progress. Rather than focusing on AI’s operational mechanisms, this chapter urges readers, policymakers, and developers to recognize the environmental costs associated with AI. It calls for responsible AI development that aligns with sustainability efforts, ensuring that technological progress does not come at the expense of ecological and social well- being.

Keywords: Sustainable Development, Artificial Intelligence, Goals, Machines, Revolution.

References

  1. Al-Emran, M., & Griffy-Brown, C. (2023). The role of technology adoption in sustainable development: Overview, opportunities, challenges, and future research agendas. Technology in Society, 73, 102240.
  2. Bautista-Puig, N., Aleixo, A. M., Leal, S., Azeiteiro, U., & Costas, R. (2021). Unveiling the research landscape of sustainable development goals and their inclusion in higher education institutions and research centers: Major trends in 2000–2017. Frontiers in Sustainability, 2.
  3. Brem, A. (2023). Book review—AI for the sustainable development goals: A critical reflection. International Journal of Innovation Management, 27(03n04).
  4. Chen, L., Chen, Z., Zhang, Y., Liu, Y., Osman, A. I., Farghali, M., Hua, J., Al-Fatesh, A., Ihara, I., Rooney, D. W., & Yap, P. (2023). Artificial intelligence-based solutions for climate change: A review. Environmental Chemistry Letters, 21(5), 2525–2557.
  5. Chen, R., & Zhang, T. (2024). Artificial intelligence applications implication for ESG performance: Can digital transformation of enterprises promote sustainable development? Chinese Management Studies.
  6. Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2021). The AI gambit: Leveraging artificial intelligence to combat climate change—Opportunities, challenges, and recommendations. AI & Society, 38(1), 283–307.
  7. Europe PMC. (n.d.). Europe PMC. https://europepmc.org/article/PMC/PMC6957485
  8. Farahani, M. S., & Ghasemi, G. (2024). How artificial intelligence plays a role in achieving sustainable development goals? ResearchGate. https://doi.org/10.62617/se.v2i1.66.
  9. Filho, W. L., Kovaleva, M., Tsani, S., Țîrcă, D., Shiel, C., Dinis, M. A. P., Nicolau, M., Sima, M., Fritzen, B., Salvia, A. L., Minhas, A., Kozlova, V., Doni, F., Spiteri, J., Gupta, T., Wakunuma, K., Sharma, M., Barbir, J., Shulla, K., … Tripathi, S. (2022). Promoting gender equality across the sustainable development goals. Environment, Development and Sustainability, 25(12), 14177–14198. https://doi.org/10.1007/s10668-022-02656-1
  10. Filho, W. L., Ribeiro, P. C. C., Mazutti, J., Salvia, A. L., Marcolin, C. B., Borsatto, J. M. L. S., Sharifi, A., Sierra, J., Luetz, J., Pretorius, R., & Trevisan, L. V. (2024). Using artificial intelligence to implement the UN sustainable development goals at higher education institutions. International Journal of Sustainable Development & World Ecology, 1–20. https://doi.org/10.1080/13504509.2024.2327584
  11. Goh, H., & Vinuesa, R. (2021). Regulating artificial-intelligence applications to achieve the sustainable development goals. Discover Sustainability, 2(1). https://doi.org/10.1007/s43621-021-00064-5.
  12. Gupta, S., Gupta, S. B., & Gupta, M. (2024). Importance of artificial intelligence in achieving SDGs in India. International Journal of Built Environment and Sustainability, 11(2), 1–26.
  13. Hasan, R., & Ojala, A. (2024). Managing artificial intelligence in international business: Toward a research agenda on sustainable production and consumption. Thunderbird International Business Review. https://doi.org/10.1002/tie.22369.
  14. Joshi, R., Pandey, K., & Kumari, S. (2024). Artificial intelligence for advanced sustainable development goals: A 360-degree approach. In W. Leal Filho, R. Pretorius & L. Salvia (Eds.), World Sustainability Series. Springer.
  15. Jungwirth, D., & Haluza, D. (2023). Artificial intelligence and the sustainable development goals: An exploratory study in the context of the society domain. Journal of Software Engineering and Applications, 16(04), 91–112.
  16. Kulkov, I., Kulkova, J., Rohrbeck, R., Menvielle, L., Kaartemo, V., & Makkonen, H. (2023). Artificial intelligence–driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals. Sustainable Development. https://doi.org/10.1002/sd.2773
  17. Liu, W., Roehl, R. A., Mukherjee, S., United Nations, UNESCO, Chinese Academy of Science, OECD, European Commission, World Bank, … Hironaka, J. (2021). Resource guide on artificial intelligence strategies. https://sdgs.un.org/sites/default/files/2021- 06/Resource%20Guide%20on%20AI%20Strategies_June%202021.pdf
  18. Mariani, L., Guerci, M., Toderi, S., & Cortini, M. (2022). Achieving sustainable development goals through collaborative innovation: Evidence from four European initiatives. Journal of Business Ethics, 180(4), 1075–1096. https://doi.org/10.1007/s10551-022-05193-z
  19. Mastrángelo, M., Perez-Harguindeguy, N., Enrico, L., Bennett, E., Lavorel, S., Cumming, G., … Zoeller, K. (2019). Key knowledge gaps to achieve global sustainability goals. Nature Sustainability, 2(12), 1115–1121.
  20. Mensah, J. (2019). Sustainable development: Meaning, history, principles, pillars, and implications for human action: Literature review. Cogent Social Sciences, 5(1).
  21. Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., … Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a smart green planet. Science of the Total Environment, 794, 148539.
  22. Nasir, O., Javed, R. T., Gupta, S., Vinuesa, R., & Qadir, J. (2023). Artificial intelligence and sustainable development goals nexus via four vantage points. Technology in Society, 72, 102171.
  23. Nerini, F. F., Mazzucato, M., Rockström, J., Van Asselt, H., Hall, J. W., Matos, S., …Sachs, J. (2024). Extending the Sustainable Development Goals to 2050 — A road map. Nature, 630(8017), 555–558.
  24. Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104.
  25. Niaz, M. U. (2021). Socio-Economic development and sustainable development goals: A roadmap from vulnerability to sustainability through financial inclusion. Economic Research-Ekonomska Istraživanja, 35(1), 3243–3275.
  26. Obaideen, K., Albasha, L., Iqbal, U., & Mir, H. (2024). Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals—A bibliometric analysis. Energy Strategy Reviews, 53, 101376.
  27. Olabi, A., Abdelkareem, M. A., Mahmoud, M. S., Elsaid, K., Obaideen, K., Rezk, H., …Sayed, E. T. (2023). Green hydrogen: Pathways, roadmap, and role in achieving sustainable development goals. Process Safety and Environmental Protection, 177, 664– 687.
  28. Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., … Herrera, F. (2021). A panoramic view and SWOT analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects. Applied Intelligence, 51(9), 6497–6527.
  29. Regona, M., Yigitcanlar, T., Hon, C., & Teo, M. (2024). Artificial Intelligence and Sustainable Development Goals: Systematic literature review of the construction industry. Sustainable Cities and Society, 105499.
  30. Sætra, H. S. (2021). AI in context and the sustainable development goals: Factoring in the unsustainability of the sociotechnical system. Sustainability, 13(4), 1738.
  31. Sachs, J. D., Schmidt-Traub, G., Mazzucato, M., Messner, D., Nakicenovic, N., & Rockström, J. (2019). Six transformations to achieve the sustainable development goals. Nature Sustainability, 2(9), 805–814.
  32. Sianes, A., Vega-Muñoz, A., Tirado-Valencia, P., & Ariza-Montes, A. (2022). Impact of the Sustainable Development Goals on the academic research agenda: A scientometric analysis. PLoS ONE, 17(3), e0265409.
  33. Steingard, D., Balduccini, M., & Sinha, A. (2022). Applying AI for social good: Aligning academic journal ratings with the United Nations Sustainable Development Goals (SDGs). AI & Society, 38(2), 613–629.
  34. Van Wynsberghe, A. (2021). Sustainable AI: AI for sustainability and the sustainability of AI. AI and Ethics, 1(3), 213–218.
  35. Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., … Nerini, F. F. (2020). The role of artificial intelligence in achieving the sustainable development goals. Nature Communications, 11(1).
  36. Zhao, W., Yin, C., Hua, T., Meadows, M. E., Li, Y., Liu, Y., Cherubini, F., Pereira, P., & Fu, B. (2022). Achieving the sustainable development goals in the post-pandemic era. Humanities and Social Sciences Communications, 9(1). https://doi.org/10.1057/s41599- 022-01283-5

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