AI has the potential to transform social finance, but it also presents a number of challenges related to data privacy and security, bias and fairness, transparency and explainability, technical complexity and employment. 

This study delves into women's experiences as users of online lending platforms in Indonesia using a gender lens to examine the risks in online lending platforms unique to women.

This study shares findings from three pilots, in collaboration with six partners, conducted as part of the action research agenda to experiment with product diversification, capacity building, and customer empowerment.

This report identifies several emerging risks related to open finance, and proposes ways in which these risks can be measured, monitored, and mitigated against by leveraging the data available in open finance ecosystems.

This report provides emerging insights on the role of mobile and digital technology in accessing and delivering climate finance in low- and middle-income countries.

The paper discusses fairness in artificial intelligence (AI)-enabled credit-scoring systems, and highlights the importance of considering the strategic role of the organization when developing and evaluating fair algorithm-enabled decision systems. 

This reading deck puts a spotlight on the specific data trails generated by digitally included yet poor people, the sources of these data trails, and variations of data trails across different segmentations.

This technical note helps explain why changes in instant payment pricing are occurring, assesses their impact on market development, and offers suggestions for the path forward.

The purpose of this report is to apply the adaptive social protection framework to the South Asian context to guide future dialogue and policy making.

This technical note is framed to help policymakers and payment system operators understand recent trends in payment initiation and customer experience in making interoperable payments work better for low-income populations.