Synthetic intelligence and machine studying are altering monetary companies choices to prospects throughout the globe. Traditionally, girls have been the victims of unconscious bias in lending selections. Algorithm-enabled credit score selections have the potential to create a stage enjoying area for feminine prospects worldwide—however provided that we discover and mitigate biases rising by expertise inputs and processes.
This report is a component thought experiment and half primer, exploring the guarantees and pitfalls of utilizing digital instruments to open up new credit score to girls people and entrepreneurs.