BRIDGING THE GAP: POLICY CHALLENGES IN AI FOR ADDRESSING SOCIO-ECONOMIC DISPARITIES ACROSS DISTRICTS
DOI:
https://doi.org/10.5281/zenodo.15698250Keywords:
Regional Disparity, Socio-Economic Disparity, Artificial IntelligenceAbstract
Artificial Intelligence (AI) has the potential to reduce socio-economic gaps between districts. However, its use in local planning and development faces many challenges. This paper explores how AI can help address differences in access to education, healthcare, jobs, and infrastructure across districts. It highlights key issues such as poor data quality, lack of district-specific AI models, and limited digital infrastructure. The study also discusses problems related to ethics, data privacy, and the skills needed to use AI effectively. Without strong policies and proper support, AI may increase rather than reduce inequalities. The paper calls for better data systems, fair access to digital tools, and training for local institutions. These steps can help use AI in a way that supports fair and inclusive growth. The findings aim to guide policymakers and researchers in making AI work for all districts, especially those that are underserved.
References
I. Haider Ali, B., Anser, W., Majeed, H., Fatima, K., & Rashid, S. (2024). Global Scientific and Academic Research Journal of Multidisciplinary Studies ISSN: 2583-4088 (Online) Global Scientific and Academic Research Journal of Multidisciplinary Studies Inequality and Innovation; Economic Disparities in a Rapidly Changing World. https://doi.org/10.5281/zenodo
II. Challoumis, C., & Χαλλουμής, Κ. (n.d.). AI AND ECONOMIC INEQUALITY-ADDRESSING THE CHALLENGES AHEAD. https://www.researchgate.net/publication/387577305
III. Chanda, A., & Kabiraj, S. (2020). Shedding light on regional growth and convergence in India. World Development, 133. https://doi.org/10.1016/j.worlddev.2020.104961
IV. Jain, M., & Jehling, M. (2020). Urban cycle models revisited: Insights for regional planning in India. Cities, 107. https://doi.org/10.1016/j.cities.2020.102923
V. Kumar, N., & Rani, R. (2019). Regional Disparities in Social Development: Evidence from States and Union Territories of India. South Asian Survey, 26(1), 1–27. https://doi.org/10.1177/0971523118825388
VI. Nguyen, T. C. (2025). AI as a solution for tackling the sustainable energy challenge in developing countries. In Energy for Sustainable Development (Vol. 87). Elsevier B.V. https://doi.org/10.1016/j.esd.2025.101761
VII. Nizamani, M. M., Qureshi, S., Tarashkar, M., Zhang, H.-L., Zhou, Q., & Lai, Z. (2025). Ethical AI: Human-centered approaches for adaptive and sustainable urban planning and policy. Land Use Policy, 157, 107650. https://doi.org/10.1016/j.landusepol.2025.107650
VIII. Shahvaroughi Farahani, M., & Ghasemi, G. (2024). Artificial Intelligence and Inequality: Challenges and Opportunities. Qeios. https://doi.org/10.32388/7hwuz2
IX. Wang, Q., Li, Y., Pata, U. K., & Li, R. (2025). Artificial intelligence and global carbon inequality: Addressing the challenges and opportunities for SDG 10, SDG 12, and SDG 13. Geoscience Frontiers, 16(4). https://doi.org/10.1016/j.gsf.2025.102072
X. Yu, L., & Zhai, X. (2024). Use of artificial intelligence to address health disparities in low- and middle-income countries: a thematic analysis of ethical issues. Public Health, 234, 77–83. https://doi.org/10.1016/j.puhe.2024.05.029
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