![]() ![]() However, this is an issue with all ML platforms. It would better if you could explain your decision in terms of delivery. ![]() ![]() If you made decisions within this machine learning model, you need to explain why you did so. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. "The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance.
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