Great write-up that takes a more rational stance on the potential wins from broader adoption of AI / machine learning. I’ve been borrowing the term “augmented intelligence” when describing the (hyped up in recent years) acronym of “AI”. The algorithms that sift through large amounts of historical data, and then try to make suggestions on data that’s input to the model by the end-user — are most effective at suggesting the next step / action for the human — rather than replacing people’s decisions entirely. This will be especially evident in healthcare, where doctor / clinician decisions will never be replaced, but rather only augmented by output from systems.
https://blogs.scientificamerican.com/observations/does-ai-have-a-place-in-medicine/