"My view is that that the subjective experience of consciousness reflects the brain activity associated not with the entire brain, but only that small portion that is projected into this self-conscious virtual reality construct." My guess is that the preceding statement represents an important insight. What is the evolutionary role of consciousness? It might be a mechanism for coordinating and triggering the various brain areas needed for decision-making and short-term learning -- good decision-making and short-term learning would be that which promotes survival and reproduction -- "good" would mean that which nature selects.
"The field of "artificial intelligence" is almost as old as computers themselves, but it has long fallen far short of its goals. The traditional method of artificial intelligence is to devise a list of rules about a particular topic, and program them into a conventional computer. But knowledge of a fixed set of rigid rules in not what we generally mean by intelligence." The preceding is another important insight, in my estimation. The "rule-based approach" to AI seems to me to be a fundamentally misguided "control freak" approach to AI. Heuristic algorithms and logic programming might work for about 5% of AI problems, but deep learning and robotics-based open-ended feeding of deep learning might be needed for 95% of AI problems. The problem would be that if the human brain becomes obsolete, human beings might find out that Darwinian evolution is brutal, wasteful, relentless, and inevitable. See how people treat mice and rats in laboratories and ask yourself if you want the human brain to become obsolete.