Artificial Intelligence in Microfinance and Financial Inclusion: Applications, Issues, and Future Directions

Arvind Ashta

No 26-008, Working Papers CEB from ULB -- Universite Libre de Bruxelles

Abstract: Artificial intelligence (AI) is emerging as a transformative force in microfinance and financial inclusion, addressing long-standing barriers such as credit invisibility, high operational costs, and limited access to formal financial services. This paper systematically examines AI applications across key financial domains (payments, savings, lending, insurance, investments) highlighting how machine learning, natural language processing, and generative AI are enabling innovative solutions tailored to the needs of marginalized populations. Drawing on contemporary research and case studies from the Global South, the analysis demonstrates AI’s potential to democratize financial services through alternative credit scoring, automated underwriting, and adaptive tools. However, the deployment of AI also presents significant challenges, including algorithmic bias, proxy discrimination, privacy violations, and the risk of exacerbating digital divides. The paper underscores the need for robust governance frameworks, ethical oversight, and inclusive policies to mitigate these risks and ensure that AI-driven financial inclusion serves the most vulnerable without creating new forms of exclusion. Future directions include advancing fairness-aware AI, improving transparency, and fostering cross-sector collaboration to align technological innovation with social justice and human dignity.

Keywords: Artificial Intelligence; Microfinance; Financial Inclusion; Machine Learning; Alternative Credit Scoring; Algorithmic Bias; Digital Divide; Ethical AI; Global South (search for similar items in EconPapers)
JEL-codes: C45 C55 D81 G21 G23 I25 O16 O33 (search for similar items in EconPapers)
Date: 2026-06-05
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