Strongly agree that metaethics is a problem that should be central to AI alignment, but is being neglected. I actually have a draft about this, which I guess I'll post here as a comment in case I don't get around to finishing it.
I often talk about humans or AIs having to solve difficult philosophical problems as part of solving AI alignment, but what philosophical problems exactly? I'm afraid that some people might have gotten the impression that they're relatively "technical" problems (in other words, problems whose solutions we can largely see the shapes of, but need to work out the technical details) like anthropic reasoning and decision theory, which we might reasonably assume or hope that AIs can help us solve. I suspect this is because due to their relatively "technical" nature, they're discussed more often on LessWrong and AI Alignment Forum, unlike other equally or even more relevant philosophical problems, which are harder to grapple with or "attack". (I'm also worried that some are under the mistaken impression that we're closer to solving these "technical" problems than we actually are, but that's not the focus of the current post.)
To me, the really central problems of AI alignment are metaethics and metaphilosophy, because these problems are implicated in the core question of what it means for an AI to share a human's (or a group of humans') values, or what it means to help or empower a human (or group of humans). I think one way that the AI alignment community has avoided this issue (even those thinking about longer term problems or scalable solutions) is by assuming that the alignment target is someone like themselves, i.e. someone who clearly understands that they are and should be uncertain about what their values are or should be, or are at least willing to question their moral beliefs, and eager or at least willing to use careful philosophical reflection to solve their value confusion/uncertainty. To help or align to such a human, the AI perhaps doesn't need an immediate solution to metaethics and metaphilosophy, and can instead just empower the human in relatively commonsensical ways, like keeping them safe and gather resources for them, and allow them to work out their own values in a safe and productive environment.
But what about the rest of humanity who seemingly are not like that? From an earlier comment:
I've been thinking a lot about the kind [of value drift] quoted in Morality is Scary. The way I would describe it now is that human morality is by default driven by a competitive status/signaling game, where often some random or historically contingent aspect of human value or motivation becomes the focal point of the game, and gets magnified/upweighted as a result of competitive dynamics, sometimes to an extreme, even absurd degree.
(Of course from the inside it doesn't look absurd, but instead feels like moral progress. One example of this that I happened across recently is filial piety in China, which became more and more extreme over time, until someone cutting off a piece of their flesh to prepare a medicinal broth for an ailing parent was held up as a moral exemplar.)
Related to this is my realization is that the kind of philosophy you and I are familiar with (analytical philosophy, or more broadly careful/skeptical philosophy) doesn't exist in most of the world and may only exist in Anglophone countries as a historical accident. There, about 10,000 practitioners exist who are funded but ignored by the rest of the population. To most of humanity, "philosophy" is exemplified by Confucius (morality is everyone faithfully playing their feudal roles) or Engels (communism, dialectical materialism). To us, this kind of "philosophy" is hand waving and make things up out of thin air, but to them, philosophy is learned from a young age and unquestioned. (Or if questioned, they're liable to jump to some other equally hand-wavy "philosophy" like China's move from Confucius to Engels.)
What are the real values of someone whose apparent values (stated and revealed preferences) can change in arbitrary and even extreme ways as they interact with other humans in ordinary life (i.e., not due to some extreme circumstances like physical brain damage or modification), and who doesn't care about careful philosophical inquiry? What does it mean to "help" someone like this? To answer this, we seemingly have to solve metaethics (generally understand the nature of values) and/or metaphilosophy (so the AI can "do philosophy" for the alignment target, "doing their homework" for them). The default alternative (assuming we solve other aspects of AI alignment) seems to be to still empower them in straightforward ways, and hope for the best. But I argue that giving people who are unreflective and prone to value drift god-like powers to reshape the universe and themselves could easily lead to catastrophic outcomes on par with takeover by unaligned AIs, since in both cases the universe becomes optimized for essentially random values.
A related social/epistemic problem is that unlike certain other areas of philosophy (such as decision theory and object-level moral philosophy), people including alignment researchers just seem more confident about their own preferred solution to metaethics, and comfortable assuming their own preferred solution is correct as part of solving other problems, like AI alignment or strategy. (E.g., moral anti-realism is true, therefore empowering humans in straightforward ways is fine as the alignment target can't be wrong about their own values.) This may also account for metaethics not being viewed as a central problem in AI alignment (i.e., some people think it's already solved).
I'm unsure about the root cause(s) of confidence/certainty in metaethics being relatively common in AI safety circles. (Maybe it's because in other areas of philosophy, the various proposed solutions are more obviously unfinished or problematic, e.g. the well-known problems with utilitarianism.) I've previously argued for metaethical confusion/uncertainty being normative at this point, and will also point out now that from a social perspective there is apparently wide disagreement about the problems among philosophers and alignment researchers, so how can it be right to assume some controversial solution to it (which every proposed solution is at this point) as part of a specific AI alignment or strategy idea?
Saying, "stealing is wrong, but I would really like to have X" might actually help you achieve your goal.
To argue back at myself, I guess what the moral realist would say is, "Your goal is wrong, and unaligned with the correct goal of [whatever is morally true]. You need to update the instrumental value(s) that don't follow from your/the true (unbeknownst to you) terminal value."
Here is a game you can play with yourself, or others:
a) You have to decide on a moral framework that can be explained in detail, to anyone.
b) It will be implemented worldwide tomorrow.
c) Tomorrow, every single human on Earth, including you and everyone you know, will also have their lives randomly swapped with someone else.
This means that you are operating under the veil of ignorance. You should make sure that the morality you decide on is beneficial whoever you are, once it takes effect.
Multiplayer: The one to first convince all other players, wins.
Single player: If you play alone, you just need to convince yourself.
Good luck!
Morality is unsolved
Let me put this another way: Did your mom ever tell you to be a good person? Do you ever feel that sometimes you fail that task? Yes?
To your defense, I doubt anybody ever told you exactly what a good person is, or what you should do to be one.
*
Morality is a famously unsolved problem, in the sense that we don't have any ethical frameworks that are complete and consistent, that everyone can agree on. It may even be unsolvable.
We don't have a universally accepted set of moral rules to start with either.
An important insight here, is that the disagreements often end up being about whom the rules should apply to.
For example, if you say that everyone should have equal rights of liberty, the question is: who is everyone?
If you say "all persons" you have to define what a person is. Do humans in coma count? Elephants? Sophisticated AIs? How do you draw the line?
And if you start having different rules for different "persons", then you don't have a consistent and complete framework, but a patchwork of rules, much like our current mess(es) of judiciary systems.
We also don't understand metaethics well.
Here are two facts about what the situation is actually like right now:
a) We are currently in a stage where we want and believe different things, some of which are fundamentally at odds which each other.
This is important to remember. We are all subjective agents, with our own collection of ontologies, and our own subjective agendas.
b) We are spending very little time politically and technically, working on ethics, and moral problems.
Implications for AI
This has huge implications for the future of AI.
First of all, it means that there is no universally consistent framework (that doesn't need constant manual updating) which we can put into an AI.
At least not one that everyone, or even a majority, will morally agree on.
If you think I am wrong about this, I challenge you to inform us what that framework would be.
So, when people talk about solving alignment, we must ask: aligning towards what? For whom?
Secondly, this same problem also applies to any principal who is put in charge of the AI. What morality should they adopt?
Open question.
These are key reason as to why I am in favour of distributed AI governance. It's like democracy: flawed on its own, but at least it distributes risk. More people should have a say. No unilateral decisions.
Alignment focus on metaethics
As for alignment, I am among those thinking that the theory builders should spend some serious effort working on metaethics now.
Morality is intrinsically tied to ontology and epistemology, to our understanding of this world and reality itself.
Consider this idea: Solving morality may require scientific advancement to the level where we don't need to discover anything fundamentally new, a level where basic empiric research is somewhat complete.
It means, working within an ontology where we don't change our physical models of the universe anymore, only refine them. A level where we have reconciled subject and object.
Sidenote 1: For AI problems, it often doesn't matter whether moral realism is true or not, the problems we currently face look the same regardless. We should not get hang up on moral realism.
Sidenote 2: As our understanding of ethics evolve, there may be fundamental gaps of understanding between the future developers of AI and the current ones, just like there are already fundamental gaps between religious fundamentalists and other religious factions with more complex moral beliefs.
This is another argument for working on metaethics first, AI later.
As this will likely not happen, I would argue that this indirectly is an argument for keeping AI narrow and with humans in control (human-in-the-loop).
Not perhaps a very strong one, on its own, but an argument nonetheless. This way, moral problems are divided, like we are. And hopefully, one day, conquered.