I don't think what we're talking about is necessarily AI. How is evaluating the result of choosing a landing area any different from what a chess engine does?
The 6 year old processor in my computer can evaluate to a depth of 45 moves in less than a second using Stockfish. It may find better moves if given a longer amount of time, but the first evaluation is still better than what a human will play basically all of the time. The best chess players are like 2800ish elo. Stockfish is ~3400? That's a massive difference.
Obviously we're talking about something more complex here, but terrain is a known element, the position speed and direction of the plane is a known element, air traffic is a known element, distance to suitable landing areas are a known element, wind speed and direction is a known element. I don't see where machine learning even comes into play here, it would be a computer taking a set of data and evaluating it to decide the next course of action. The only difference between a chess engine and what this hypothetical computer would do is that there's more data to work with and that lives would be hanging in the balance. The former could be overcome with a better computer. The latter is simply the nature of air travel.