I honestly think that, a parallel ML system to explain in words the decision of the deciding ML, is the only way we will get explainable ML. That is somewhat a

I honestly think that, a parallel ML system to explain in words the decision of the deciding ML, is the only way we will get explainable ML. That is somewhat analogous to how humans decide. Our brain runs over data and various potential outcomes and maybe reasoning and then decides. A bit later it generates a post-how explanation of said decision.I think we all have experienced ourselves and others having a totally wrong explanation about decisions but it is some how more satisfying than “a gut feel” or “because I said so”.