Machine learning and artificial intelligence are advancing dramatically these days, but some scientists within the field refer to these new developments as a bit like alchemy. There are a number of issues that caused this comparison: an inability to explain why some algorithms work and others don’t, results that can’t be consistently replicated, and difficulties with explaining the results.
Some of the scientists working on machine learning and AIs have suggested ways to make the field more rigorous, which they believe will help overcome some of these difficulties, and make their field a little less like alchemy, and a little more like a traditionally defined scientific field, in which decisions can have better justification and results can be reproduced and explained.
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