AI-driven microfinance products in Indonesia are using advanced data analytics to streamline lending processes, offering higher approval rates and lower origination costs compared to traditional methods. However, these systems risk undermining the social accountability that has historically ensured high repayment rates among low-income borrowers by removing group-based support mechanisms. Hybrid models that combine AI with social accountability principles may offer a balanced approach moving forward.
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