"Geoffrey Hinton publicly predicted that deep learning would outperform radiologists and suggested that training new radiologists should stop."
This article in Radiology: Artificial Intelligence documents Hinton's prediction about replacing radiologists with deep learning. It provides a concrete example of how technological forecasts can emphasize automatable components of a profession while prompting debate about the broader responsibilities involved in performing that profession.
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