There is a broad consensus that no explicit definition should be prescribed. It would in any case be virtually impossible to capture the diversity of procedures and their continuous development in a rigid definition. The focus should not be on generalised requirements, but on specific use cases.
And the results of the consultation also make it clear that ML does not need its own new set of rules. Many supervisory requirements, such as those covering model development, operation and validation or data management, come about because they address complex statistical models. I believe that the current technology-neutral and risk-oriented regulatory approach should also stake out a general framework for ML.