I agree that trying to map all human values is extremely complex as articulated here [http://wiki.lesswrong.com/wiki/Complexity_of_value] , but the problem as I see it, is that we do not really have a choice - there has to be some way of measuring the initial AGI to see how it is handling these concepts.
I dont understand why we don’t try to prototype a high level ontology of core values for an AGI to adhere to - something that humans can discuss and argue about for many years before we actually build an AGI.
Law is a useful example which shows that human values cannot be absolutely quantified into a universal system. The law is constantly abused, misused and corrected so if a similar system were to be put into place for an AGI it could quickly lead to UFAI.
One of the interesting things about the law is that for core concepts like murder, the rules are well defined and fairly unambiguous, whereas more trivial things (in terms of risk to humans) like tax laws, parking laws are the bits that have a lot of complexity to them.
I suspect there's a lot of hidden complexity here. The malice requirement for murder, for example, strikes me as the sort of thing that would be hard to get an algorithm to recognize; similar problems might arise in mapping out the boundary between premeditated and non-premeditated murder (in jurisdictions where it's significant), figuring out culpability in cases of murder by indirect means, determining whether a self-defense claim is justified, etc.
Tax law (e.g.) has more surface complexity, but it also looks more mechanistic to me. I don't think this has to do with risk so much as with its distance from domains we're cognitively optimized for.