Machine learning algorithms are increasingly being used to make highly consequential decisions for citizens of the Global South. I talk to Genevieve Smith about how algorithmic decision making in the realm of financial inclusion can lead to inequitable outcomes along gender lines, how that compares to the status quo, and how we can do better as practitioners and researchers. Genevieve Smith is the founding co-director of the Responsible and Equitable AI Initiative at the Berkley AI Research Lab and is also part of the faculty at Haas. She also serves as a Gender & AI Fellow at USAID and leads research partnerships with big tech firms.