Current artificial intelligence based on deep learning has problems. Each of these AI systems can only be used in situations for which it’s designed, and they make mistakes even in such situations. Anything that’s too different from their training sets causes issues. This isn’t surprising, because their construction is not based on a notion of how actual understanding arises from neural interactions.
Current cortical prostheses have problems, too. Cortical prosthetic vision researchers struggle to produce useful systems because there’s no notion of how visual experiences arise from neural interactions.
We need a solution to these problems that’s based on a testable theory of experience and understanding.