Discussion paper on machine learning for IRB models

The discussion paper on machine learning used in the context of internal ratings-based (IRB) models to calculate regulatory capital for credit risk aims to set supervisory expectations on how new sophisticated machine learning models can coexist with and adhere to the Capital Requirements Regulation (CRR) when used in the context of IRB models.