AI and the Art of Listening to Customers
How can we better understand our customers? FINCA is using locally trained AI to listen beyond structured questions, analyzing the subtleties of emotional expressions to support impact evaluation and product development.
Emerging Cyberthreats to Global Financial Inclusion
This faiVLive focused on better understanding the emerging risks of AI-powered cyberattacks, and sought to catalyze informed collective action in the financial inclusion community.
It’s Still Not Magic: Framing the Risks Facing Financial Services in the Gen AI Era
This report introduces a new framework for making sense of AI-related risks in financial services, in a landscape transformed by the widespread adoption of generative AI. It builds on a framework first developed in a 2019 CSFI report.
Innovation for Inclusion: A Roadmap for Inclusive Finance Policy to Navigate Rapid Technological Change
Cracking the Credit Code: Alternative Data and AI for Financial Inclusion
This report aims to inform practitioners and policymakers about ways in which innovations in credit scoring can advance financial inclusion while ensuring fairness and protecting consumers.
FinDev Guide to Mythos
Recent news coverage of the new artificial intelligence (AI) model called Mythos has raised alarms in many circles about increasing cybersecurity risks, especially for the financial sector. What do financial inclusion practitioners need to know about Anthropic's AI model?
AI Agents Make Card Purchases With New Mastercard–Lobster.cash Integration
Mastercard and Crossmint's Lobster.cash announced that they are working together so consumers will soon be free to safely authorize AI agents to make purchases using their existing payment cards.
The 2026 Global AI in Financial Services Report
This report assesses the impact of AI on the financial services industry, including fintechs and traditional financial institutions, from efficiency to productivity and profitability, as well as persistent organizational adoption and scaling challenges. It also highlights developing policy and regulatory approaches.
Does Automatic Loan Approval Reduce Gender Bias in SME Lending?
The results show that female applicants below the threshold are less likely to take out loans and receive smaller loan amounts than men. However, this gender bias disappears for applicants above the threshold.