AI -DRIVEN APPROACHES TO FINANCIAL INCLUSION: ENABLING GREEN FINANCE FOR SUSTAINABLE DEVELOPMENT
Abstract
This article explores the intersection of artificial intelligence (AI) and financial inclusion. and inexperienced finance To promote sustainable development As AI technology develops rapidly These provide transformative opportunities for the financial sector. Particularly in improving access to financial services for the underserved and underserved population of the bank. Leveraging AI-powered tools combined with credit scoring Threat assessment and mortgage disbursement It enables financial establishments to offer more comprehensive and effective financial offers. Moreover, AI in green finance is becoming more and more important. Because it helps assess climate risks. Invest in inexperienced initiatives and promote sustainability This article examines the interplay between AI-driven financial inclusion and green finance. Each uses AI technology to force financial inclusion and environmental sustainability. A framework is presented. The potential of these technologies to empower communities Guide inexperienced financial initiatives. and contribute to achieving the Sustainable Development Goals (SDGs) are critically analyzed. This reveals a virtuous circle of inexperienced collective resilience.
Keyword : artificial intelligence (AI), financial inclusion green finance sustainable development Climate risk assessment credit scoring credit disbursement green project Financial Technology (FinTech) Environmental Sustainability Sustainable Development Goals (SDGs)

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References
1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. 2. Ayub, M. (2013). Understanding Islamic finance. 3. Barney, J. (1991). Firm resources and sustained competitive advantage. 4. Berensmann, K., & Lindenberg, N. (2016). Green finance: Actors, challenges and policy recommendations. 5. Bhardwaj, B., Sharma, D., & Dhiman, M. C. (2023). Artificial Intelligence vs Emotional Intelligence: Unraveling the Companionship and Paradoxes. 6. Bhattacharjee, A., & Bansal, V. (2023). Sustainable approaches of blockchain tech, artificial intelligence, and climate finance in the 4&5IR. 7. Bretas, V. P., & Alon, I. (2021). Franchising research on emerging markets: Bibliometric and content analyses. 8. Caldecott, B., McCarten, M., Christiaen, C., & Hickey, C. (2022). Spatial finance: Practical and theoretical contributions to financial analysis. 9. Chopra, M., & Mehta, C. (2023). Going green: Do green bonds act as a hedge and safe haven for stock sector risk 10. Diamond, D. W., & Dybvig, P. H. (1983). Bank runs, deposit insurance, and liquidity. 11. Dinyake, T. S., Telukdarie, A., & Mwanza, B. G. (2022). Development of Integrated Stormwater Asset Management Framework. 12. Elkington, J., & Rowlands, I. H. (1999). Cannibals with forks: The triple bottom line of 21st century business. 13. Gilchrist, D., Yu, J., & Zhong, R. (2021). The limits of green finance: A survey of literature in the context of green bonds and green loans. 14. Hajek, P., & Henriques, R. (2017). Mining corporate annual reports for intelligent detection of financial statement fraud—A comparative study of machine learning methods. 15. Hunjra, A. I., Azam, M., & Al-Faryan, M. A. S. (2024). The nexus between climate change risk and financial policy uncertainty. 16. Hunjra, A. I., Hassan, M. K., Zaied, Y. B., & Managi, S. (2023). Nexus between green finance, environmental degradation, and sustainable development. 17. Jangid, J., & Bhardwaj, B. (2023). Relationship between AI and green finance: Exploring the changing dynamics. 18. Jiao, W., Wang, W., Huang, J., Wang, X., & Tu, Z. (2023). Is ChatGPT a good translator? A preliminary study. 19. Jung, Y., & Lee, K. (2022). Roles and Tasks of Peer-to-Peer Lending Platforms in Activating Green Finance. 20. Kolchinsky, E. (2018). Machine learning for structured finance. 21. Kuang, M., Kuang, D., Rasool, Z., Saleem, H. M. N., & Ullah, M. I. (2024). From bytes to sustainability: Asymmetric nexus between industrial artificial intelligence and green finance. 22. Lăzăroiu, G., Bogdan, M., Geamănu, M., Hurloiu, L., Ionescu, L., & Ștefănescu, R. (2023). Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management. 23. Li, N., Gu, Z., Albasher, G., Alsultan, N., & Fatemah, A. (2023). Nexus of financial management, blockchain, and natural resources: Comparing the impact on environmental sustainability and resource productivity. 24. Mahajan, R., Kumar, S., Lim, W. M., & Sareen, M. (2024). The role of business and management in driving the sustainable development goals (SDGs). 25. Maia, S. C., de Benedicto, G. C., do Prado, J. W., Robb, D. A., de Almeida Bispo, O. N., & de Brito, M. J. (2019). Mapping the literature on credit unions: A bibliometric investigation grounded in Scopus and Web of Science. 26. Markowitz, H. (1952). Portfolio selection. 27. Migliorelli, M., & Dessertine, P. (Eds.). (2019). The rise of green finance in Europe: Opportunities and challenges for issuers, investors, and marketplaces. 28. Mumtaz, M. Z., & Smith, Z. A. (2019). Green finance for sustainable development in Pakistan.