I've said for a long time that we are currently in the fitbit stage of AI. "Ng was responding to a question about why machine learning models trained to make m

I've said for a long time that we are currently in the fitbit stage of AI. "Ng was responding to a question about why machine learning models trained to make medical decisions that perform at nearly the same level as human experts are not in clinical use" "“It turns out,” Ng said, “that when we collect data from Stanford Hospital, then we train and test on data from the same hospital, indeed, we can publish papers showing [the algorithms] are comparable to human radiologists in spotting certain conditions.” But, he said, “It turns out [that when] you take that same model, that same AI system, to an older hospital down the street, with an older machine, and the technician uses a slightly different imaging protocol, that data drifts to cause the performance of AI system to degrade significantly. In contrast, any human radiologist can walk down the street to the older hospital and do just fine."