I was simply making the point that when you encounter a situation that isn't covered in the instructions, you need juman judgement to figure out the best way to proceed. I also explicitly stated that human judgement is far from flawless, and that if you can develop a sufficiently comprehensive automation program, you can get safer results than you would on average with human judgement.
PS: IMO, what separates people from machine learning systems is treating everything as training data, a much larger training set, a lot more processing power, and a tendency to explore novel situations. The trade off is efficiency and reaction times. Still, when you get into thrust vectoring, super sonic flight, high g turns, rapidly changing weight/drag/thrust at the same time trading consistency for improved handling of novel situations is probably worth it so I expect the air force uses systems that are fare more adaptable than the civilian world.
However, while flight control systems have been responsible for plenty of crashes pilots have often mistaken level for non level flight and focused on faulty instruments rather than switching to working backups etc. An automated system can handle redundancy much more efficiently than people in such situations so while it's little value for a person to have ex:7 gyroscopes if they need to pick between them autopilots can gain from access to such information.