Various African banks and fintechs AI failures

Women's World Banking finds algorithmic bias can reduce women's access to credit in fintechs

Women’s World Banking released an analysis and public toolkit showing that AI and ML credit-scoring systems used by banks and fintechs can generate gender-based disparities that exclude or limit credit for women. The report identifies mechanisms including biased data, proxies correlated with gender, and weak governance, and offers mitigation steps and an interactive tool for practitioners. Press coverage summarized the report's central finding that these systems may discriminate against women and urged industry action.

Confidence

High (multi-source, primary)