The training session examines practical innovations in credit assessment, focusing on how technologies like machine learning, AI, and alternative data are changing how lenders evaluate risk especially for women entrepreneurs. Participants will explore how these tools improve access to finance for underserved segments.
The session will also address the issue of gender and unconscious bias in credit models. Using real case studies, attendees will discuss the risks of biased algorithms and explore strategies for building more transparent and inclusive credit assessment systems.
