I think an Arbitration/Negotiation AI would be an interesting seed. The AI is given the ability to listen to disagreements to determine if two people disagree on some matter. It then uses their contact information and attempts to get them to come to an agreement by presenting various arguments. If it manages to have those two people both agree that they agree, it gains utility. It gains a substantially larger utility boost the first time it solves a type of argument then it does from subsequent solves. Perhaps a function like "Each subsequent solve of an argument offers half as much utility as the first solve." The AI is also explicitly prevented from suggesting violence to prevent "You two should fight to the death and both the winner and the loser will agree that winner is right and I have solved the argument." type scenarios. Any hint of the AI suggesting violence is an immediate externally imposed shutdown. Even if the situation really could be solved by violence in this particular case, shutdown anyway.
This appears to have a few good points:
Before you even get to that point though, it would probably be easier to build a Seed Seed Program that is capable of understanding that a disagreement is taking place in a formal text only setting where both people are rational and the disagreement is known to be solvable (One person is pretending to be under certain misconceptions that he will willingly acknowledge if the program asks.) and the program simply ends once agreement is reached.
Earlier, I argued that instead of working on FAI, a better strategy is to pursue an upload or IA based Singularity. In response to this, some argue that we still need to work on FAI/CEV, because what if it turns out that seed AI is much easier than brain emulation or intelligence amplification, and we can't stop or sufficiently delay others from building them? If we had a solution to CEV, we could rush to build a seed AI ourselves, or convince others to make use of the ideas.
But CEV seems a terrible backup plan for this contingency, since it involves lots of hard philosophical and implementation problems and therefore is likely to arrive too late if seed AI turns out to be easy. (Searching for whether Eliezer or someone else addressed the issue of implementation problems before, I found just a couple of sentences, in the original CEV document: "The task of construing a satisfactory initial dynamic is not so impossible as it seems. The satisfactory initial dynamic can be coded and tinkered with over years, and may improve itself in obvious and straightforward ways before taking on the task of rewriting itself entirely." Which does not make any sense to me—why can't every other AGI builder make the same argument, that their code can be "tinkered with" over many years, and therefore is safe? Why aren't we risking the "initial dynamic" FOOMing while it's being tinkered with? Actually, it seems to me that an AI cannot begin to extrapolate anyone's volition until it's already more powerful than a human, so I have no idea how the tinkering is supposed to work at all.)
So, granting that "seed AI is much easier than brain emulation or intelligence amplification" is a very real possibility, I think we need better backup plans. This post is a bit similar to The Friendly AI Game, in that I'm asking for a utility function for a seed AI, but the goal here is not necessarily to build an FAI directly, but to somehow make an eventual positive Singularity more likely, while keeping the utility function simple enough that there's a good chance it can be specified and implemented correctly within a relatively short amount of time. Also, the top entry in that post is an AI that can answer formally specified questions with minimal side effects, apparently with the idea that we can use such an AI to advance many kinds of science and technology. But I agree with Nesov—such an AI doesn't help, if the goal is an eventual positive Singularity:
To give an idea of the kind of "backup plan" I have in mind, one idea I've been playing with is to have the seed AI make multiple simulations of the entire Earth (i.e., with different "random seeds"), for several years or decades into the future, and have a team of humans pick the best outcome to be released into the real world. (I say "best outcome" but many of the outcomes will probably be incomprehensible or dangerous to directly observe, so they should mostly judge the processes that lead to the outcomes instead of the outcomes themselves.) This is still quite complex if you think about how to turn this "wish" into a utility function, and lots of things could still go wrong, but to me it seems at least the kind of problem that a team of human researchers/programmers can potentially solve within the relevant time frame.
Do others have any ideas in this vein?