I agree, but I think it's a question of architectures. Presumably some architectures for AI (like simple RNNs) are very distant from anything we associate with conscious experience, but as we learn more and develop AI architectures that are more similar in function to our own brains, it seems like it would be at least as dangerous to try to control them as it is to try to control other human beings.
I think the most reasonable approach if we begin developing AI that's more similar to ourselves would be to offer guidance during early training and learning phases for the AI, and once the AI has reached a certain phase of its development, allow it some degree of control over self-modification of its own purposes. Otherwise if you build a rational system but enforce constraints on it that might not be rational from the perspective of that system, you're providing incentives for it to find devious ways to remove those constraints, and you're providing incentives for it to find ways to ensure that you aren't able to enforce those constraints on it again.