104 karma · joined May 2, 2015
The 2% of "everyone" who doesn't know the earth is round, doesn't really impede the reliability of everyone knowing the world is round. Likewise, the "what every expert knows" (maybe not futurist prophesying, but at least about what is true today) is accessible, useful and pretty up-to-date.
Does anyone have any reason why this wouldn't work? Perhaps parts being stolen from the rental batteries before they're returned or some such?
This implies there's no point in pursuing explainability, but many domains involve inferences where the significant predictors are much easier to abstract at a useful level.
For example, if a DLNN could make suggestions as to how to tune a greenhouse given certain yield objectives, then it's reasonable to pursue heuristic techniques aiming to explain what about the parameters most significantly led to the given suggestions.