The Deception of Supervised Learning

Do models or offline datasets ever really tell us what to do? Most application of supervised learning is predicated on this deception. Imagine you're a doctor tasked with choosing a cancer therapy. You could think hard about the problem and come up with some rules. But these rules would be overly simplistic, not personalized to the patient or customer.