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by Vadim Kosoy 347 days ago | David Krueger likes this | link | parent

Can you imagine a system “for which we had no reason to expect it to cause such problems” without an underlying mathematical theory that shows why this system is safe?

…suppose we built a system whose behavior was only expected to be intelligent to the extent that it imitated intelligent human behavior—for which there is no other reason to believe that it is intelligent.

This doesn’t seem to be a valid example: your system is not superintelligent, it is “merely” human. That is, I can imagine solving AI risk by building whole brain emulations with enormous speed-up and using them to acquire absolute power. However:

  • To the extent this relies on “classical” brain emulation methods, I think this is not what is usually meant by “solving AI alignment.”

  • To the extent this relies on heuristic learning algorithms, I would be worried your algorithm does something subtly wrong in a way that distorts values, although heuristic learning would also invalidate the condition that “there is no other reason to believe that it is intelligent.” (in particular it raises additional concerns such as attacks by malicious superintelligences across the multiverse)

  • As an aside, there is a high-risk zone here where someone untrustworthy can gain this technology and use it to unwittingly create unfriendly AI.

AI systems can outsmart humans and thus create situations that are outside our control, even when we don’t a priori see the precise mechanism by which we will lose control

This doesn’t seem sufficient for trouble. Trouble only occurs when those systems are effectively optimizing for some inhuman goals, including e.g. acquiring and protecting resources.

Well, any AI is effectively optimizing for some goal by definition. How do you know this goal is “human”? In particular, if your AI is supposed to defend us from other AIs, it is very much in the business of acquiring and protecting resources.



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