Scalability could trump complexity in machine learning debate

Risk USA: banks “on the precipice” of adopting more complex models, says Goldman exec

The debate over the use of more complex and hard-to-explain machine learning-based models to make customer-facing decisions is approaching a tipping point, say senior model risk executives – one that could ultimately extend to more heavily regulated activities such as lending.

Banks have long veered between deploying simpler machine learning techniques that can inform models such as logistic