The use of artificial intelligence (AI) and machine learning (ML) to determine the creditworthiness of clients for small ticket loans by analyzing data from a wide range of traditional and non-traditional data sources, has the potential to enhance access to credit for marginalized customers. Here also it would be necessary to understand the associated risks and mitigate them suitably through various safeguards and precautions.
Risks relating to cyber security, software development, limitations in 3  transaction capacity, privacy of customer data, and data security need to be factored in. The methodology of algorithms underpinning digital financial services has to be clear, transparent, explainable and free from exclusionary biases.