The European Banking Authority (EBA) published today a discussion paper on machine learning used in the context of internal ratings-based (IRB) models to calculate regulatory capital for credit risk. The aim of the discussion paper is 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. The discussion paper seeks stakeholders’ feedback on many practical aspects related to the use of machine learning in the context of IRB with the aim of providing clarity on supervisory expectations on their use. The consultation runs until 11 February 2022.