learn how to learn, and think critically.
FlightDetent, …’the fact that today's pilots, again as a group, are less precise and less capable with their hand-flying - there's no argument i guess.”
Yes, and …
“… they’re very bad at generalizing their skills. “We often can’t count on them if the environment differs, sometimes even in small ways, from the environment on which they are trained,”
… the rigid nature, prevents them from tackling problems in open-ended domains.
… need to learn how to learn, be allowed to be creativity, benefit from on-the-fly learning, and think critically.”
The above is copied from an article on Artificial Intelligence, and continues noting AI’s need to be robust, with:-
“Intelligence that, while not necessarily superhuman or self-improving, can be counted on to apply what it knows to a wide range of problems in a systematic and reliable way, synthesizing knowledge from a variety of sources such that it can reason flexibly and dynamically about the world, transferring what it learns in one context to another, in the way that we would expect of an ordinary adult.”
Those are key features missing from current deep learning systems. Deep neural networks can ingest large amounts of data and exploit huge computing resources to solve very narrow problems, such as detecting specific kinds of objects or playing complicated video games in specific conditions.”
Many similarities with views of modern pilot performance; this suggests that if we imagine, train, and expect people to behave like machines, then we will get machine-like behaviours, with all the limitations and consequences of our expectations.
Yet todays industry is increacinly machine like and expects machine like performance.