Piltdown, when humans are able to determine where the aircraft will end up, and explain why, then perhaps the programmers might be able to code this and use the processing power.
Also, remember that for any meaningful output there has to be a corresponding accurate input, otherwise it’s just a guess.
In most circumstances an experienced human provides a very good ‘guess’ (but rarely, not always good enough); however if data-mining could provide a more accurate guess based many previous successful human guesses (humans don’t learn/forget or are corrupted by bias) then the computation might be able to advise the human that they will not end up where they plan to (providing the human declares the intention).
At the other end of the scale there are situations where the human will excel; here the computer should not intervene. Thus there is problem to determining which situation applies (context). Data-mining might first focus on establishing the situation (requires sensor accuracy), then indicate the level of risk which is in a choice of action, bearing in mind that humans tend to underestimate risk (operators and programmers).