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Nebu comments on The Blue-Minimizing Robot - Less Wrong
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The conclusion I'd draw from this essay is that one can't necessarily derive a "goal" or a "utility function" from all possible behavior patterns. If you ask "What is the robot's goal?", the answer is, "it doesn't have one," because it doesn't assign a total preference ordering to states of the world. At best, you could say that it prefers state [I SEE BLUE AND I SHOOT] to state [I SEE BLUE AND I DON'T SHOOT]. But that's all.
This has some implications for AI, I think. First of all, not every computer program has a goal or a utility function. There is no danger that your TurboTax software will take over the world and destroy all human life, because it doesn't have a general goal to maximize the number of completed tax forms. Even rather sophisticated algorithms can completely lack goals of this kind -- they aren't designed to maximize some variable over all possible states of the universe. It seems that the narrative of unfriendly AI is only a risk if an AI were to have a true goal function, and many useful advances in artificial intelligence (defined in the broad sense) carry no risk of this kind.
Do humans have goals? I don't know; it's plausible that we have goals that are complex and hard to define succinctly, and it's also plausible that we don't have goals at all, just sets of instructions like "SHOOT AT BLUE." The test would seem to be if a human goal of "PROMOTE VALUE X" continues to imply behaviors in strange and unfamiliar circumstances, or if we only have rules of behavior in a few common situations. If you can think clearly about ethics (or preferences) in the far future, or the distant past, or regarding unfamiliar kinds of beings, and your opinions have some consistency, then maybe those ethical beliefs or preferences are goals. But probably many kinds of human behavior are more like sets of instructions than goals.
What does it mean for a program to have intelligence if it does not have a goal? (or have components that have goals)
The point of any incremental intelligence increase is to let the program make more choices, and perhaps choices at higher levels of abstraction. Even at low intelligence levels, the AI will only 'do a good job' if the basis of those choices adequately matches the basis we would use to make the same choice. (a close match at some level of abstraction below the choice, not the substrate and not basic algorithms)
Creating 'goal-less' AI still has the machine making more choices for more complex reasons, and allows for non-obvious mismatches between what it does and what we intended it to do.
Yes, you can look at paperclip-manufacturing software and see that it is not a paper-clipper, but some component might still be optimizing for something else entirely. We can reject the anthropomorphically obvious goal and there can still be an powerful optimization process that affects the total system, at the expense of both human values and produced paperclips.
This is a very interesting question, thanks for making me think about it.
(Based on your other comments elsewhere in this thread), it seems like you and I are in agreement that intelligence is about having the capability to make better choices. That is, two agents given an identical problem and identical resources to work with, the agent that is more intelligent is more likely to make the "better" choice.
What does "better" mean here? We need to define some sort of goal and then compare the outcome of their choices and how closely those outcome matches those goals. I have a couple of disorganized thoughts here: