Machine Learning (ML) Technologies for Digital Credit Scoring in Rural Finance: A Literature Review

Rural credit is one of the most critical inputs for farm production across globe. Despite so many advances in digitalization emerging and developing economies, still a large part society like small holders, rural youth, women farmers are untouched by mainstream banking transactions. Machine learning-based technology giving new hope to these individuals. However, it or non-banking institutions that decide how they will adopt this advanced technology, have reduced human biases loan decision making. Therefore, scope study highlight various AI-ML- based methods scoring their gaps currently practice institutions. For study, systematic literature review been applied; existing research articles empirically reviewed with an attempt identify compare best fit AI-ML-based model adopted financial worldwide. The main purpose present ML algorithms highlighted earlier researchers could be assessment borrowers, particularly those who no inadequate history. would interesting recognize further able blend traditional digital successfully without any ethical challenges.