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Algo-based MSME lending: How AI can make credit assessment more inclusive, accurate, efficient
Update / Judgement Date
25 May 2024
Source
Author
Team — WCP Legal Desk
Reading Time
1 min read
AI-driven credit assessment aims to democratize access to credit, particularly benefiting small businesses and marginalized borrowers. However, concerns about transparency and fairness persist, prompting the need for explainable AI models and bias detection algorithms. \r
By leveraging non-traditional data points, AI enables more accurate evaluations and promotes financial inclusion by extending credit to New-To-Credit segments. In the MSME sector, AI-led assessment streamlines processes, reducing underwriting costs and enhancing productivity. Responsible adoption of AI is crucial for ensuring transparency and mitigating biases, ultimately fostering trust and inclusivity in the financial system. \r
In summary, AI offers a transformative opportunity to improve the fairness and efficiency of credit assessment, contributing to a more inclusive financial landscape.