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?
Yes. For example, 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. Depending on the human being imitated, such a system could end up seeming unproblematic even without any new theoretical understanding.
We don’t yet see any way to build such a system, much less to do so in a way that could be competitive with the best RL system that could be designed at a given level of technology. But I can certainly imagine it.
(Obviously I think there is a much larger class of systems that might be non-problematic, though it may depend on what we mean by “underlying mathematical theory.”)
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.
That is a very special thing for a system to do, above and beyond being able to accomplish tasks that apparently require intelligence. Currently we don’t have any way to accomplish the goals of AI that don’t risk this failure mode, but it’s not obvious that it is necessary.
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:
I think this is not what is usually meant by “solving AI alignment.”
The more you use heuristic learning algorithms instead of “classical” brain emulation the more I would be worried your algorithm does something subtly wrong in a way that distorts values, although that would also invalidate the condition that “there is no other reason to believe that it is intelligent.”
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.
Yes. For example, 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. Depending on the human being imitated, such a system could end up seeming unproblematic even without any new theoretical understanding.
We don’t yet see any way to build such a system, much less to do so in a way that could be competitive with the best RL system that could be designed at a given level of technology. But I can certainly imagine it.
(Obviously I think there is a much larger class of systems that might be non-problematic, though it may depend on what we mean by “underlying mathematical theory.”)
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.
That is a very special thing for a system to do, above and beyond being able to accomplish tasks that apparently require intelligence. Currently we don’t have any way to accomplish the goals of AI that don’t risk this failure mode, but it’s not obvious that it is necessary.
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:
I think this is not what is usually meant by “solving AI alignment.”
The more you use heuristic learning algorithms instead of “classical” brain emulation the more I would be worried your algorithm does something subtly wrong in a way that distorts values, although that would also invalidate the condition that “there is no other reason to believe that it is intelligent.”
There is a high-risk zone here where someone untrustworthy can gain this technology and use it to unwittingly create unfriendly AI.
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.