Kaj_Sotala comments on Friendly AI ideas needed: how would you ban porn? - Less Wrong
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Not saying that I would endorse this as a regulatory policy, but it's my understanding that the strategy used by e.g. the Chinese government is to not give any explicit guidelines. Rather, they ban things which they consider to be out of line and penalize the people who produced/distributed them, but only give a rough reason. The result is that nobody tries to pull tricks like obeying the letter of the regulations while avoiding the spirit of them. Quite the opposite, since nobody knows what exactly is safe, people end up playing it as safe as possible and avoiding anything that the censors might consider a provocation.
Of course this errs on the side of being too restrictive, which is a problem if the eroticism is actually something that you'd want to encourage. But then you always have to err in one of the directions. And if you do a good enough job at picking the people who you make public examples of, maybe most people will get the right message. You know it when you see it, so punish people when you do see something wrong, and let them off when you don't see anything wrong: eventually people will be able to learn the pattern that your judgments follow. Even if they couldn't formulate an explicit set of criteria for porn-as-defined-by-you, they'll know it when they see it.
If the problem is about classifier design, I supposed that in the least convenient possible world both the porn and the high culture media were being beamed from Alpha Centauri. Instead of being able to affect the production in any way, all you could do was program the satellite relay that propagates the stuff to terrestrial networks to filter the porny bits while feeding the opera bits to lucrative pay-per-view, while trying not to think too hard about just what is going on at Alpha Centauri and why is it resulting pitch-perfect human porn movies and opera performances being narrowcast at Earth in high resolution video.
Which is exactly "refining the AI's values through interactions with human decision makers, who answer questions about edge cases and examples and serve as "learned judges" for the AI's concepts".
Hmm, I read the original post rather quickly, so I actually missed the fact that the analogy was supposed to map to value loading. I mistakenly assumed that this was about how to ban/regulate AGI while still allowing more narrow AI.