Scalable and Ethical Artificial Intelligence for Sustainable Development Goals (SDGs): Insights from Multi-Stakeholder Engagement in the Global South
DOI:
https://doi.org/10.69980/dpwsxs09Keywords:
Artificial Intelligence (AI); Sustainable Development Goals (SDGs); Ethical AI; Global South; Low- and Middle-Income Countries (LMICs); Inclusive Innovation; AI Governance; Digital Ethics; Policy Framework; Sustainable Development.Abstract
The study creates a scalable and ethical system of AI and investigates its implementation in the Asian market such as India and China with the emphasis on the potential of AI in fields such as education, health, and clean energy. The results note the transformative aspect of AI in promoting SDGs and the need to deal with such challenges as algorithmic bias and data scarcity. The fast growth of Artificial Intelligence (AI) is a disruptive prospect to develop the United Nations Sustainable Development Goals (SDGs) and in low- and middle-income countries (LMICs), in particular, but also issues of ethics, infrastructure, and social challenges remain. This research builds a scalable and ethical artificial intelligence framework based on a mixed-methods model, which combines 37 semi-structured interviews with policy makers, developers, NGOs and community leaders in India, Kenya, Bangladesh, Ghana and the Philippines, and secondary data analysis of global policy reports from UNESCO, OECD, UNDP and the World Bank. The results also reveal that AI innovation in education, healthcare, and clean energy is more efficient and more inclusive, but there is still algorithmic bias, lack of data, and digital exclusion. The study suggests a contextualized ethical approach based on fairness, transparency, and inclusivity, and relevant to the international standards. The study is able to emphasize the potential of AI to become antecedent to sustainable and equitable development instead of systemic disparity through its combination of ethical governance and stakeholder involvement.
Keywords:
References
1. Bank, W. (2021). World development report 2021: Data for better lives. The World Bank.
2. Boddington, P. (2020). Towards a Code of Ethics for Artificial Intelligence. Springer.
3. Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.
4. Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1).
5. Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
6. Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399.
7. OECD. (2019). Recommendation of the Council on Artificial Intelligence. Organisation for Economic Co-operation and Development.
8. Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine Learning in Medicine. New England Journal of Medicine, 380(14), 1347–1358.
9. Rolnick, D., et al. (2022). Tackling Climate Change with Machine Learning. ACM Computing Surveys, 55(2), 1–37.
10. Stilgoe, J., Owen, R., & Macnaghten, P. (2013). Developing a Framework for Responsible Innovation. Research Policy, 42(9), 1568–1580.
11. Taylor, L., & Broeders, D. (2022). In the Name of Development: Power, Profit, and the Datafication of the Global South. Geoforum, 130, 89–99.
12. Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
13. UNDP. (2021). AI for Sustainable Development: Policy Guidance for Developing Countries. United Nations Development Programme.
14. UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. United Nations Educational, Scientific and Cultural Organization.
15. Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 233.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Dr. Rashi Bhati, Dr. Diwakar Chaudhary (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
