If someone comes up with a new/old brilliant idea for AI control, it can normally be dismissed by appealing to one of these responses: ...
I'm a fan of "defense in depth" strategies. Everything I've seen or managed come up with so far has some valid objection that means it might not be sufficient or workable, for some subset of AGIs and circumstances. But if you come up with enough tricks that each have some chance to work, and these tricks are compatible and their failures uncorrelated, then you've made progress.
I'd be very worried about it if an AGI launched that didn't have a well-specified utility function, transparent operation, and the best feasible attempt at a correctness proof. But even given all these things, I'd still want to see lots of safety-oriented tricks layered on top.
EDIT: this post is no longer being maintained, it has been replaced by this new one.
I recently went on a two day intense solitary "AI control retreat", with the aim of generating new ideas for making safe AI. The "retreat" format wasn't really a success ("focused uninterrupted thought" was the main gain, not "two days of solitude" - it would have been more effective in three hour sessions), but I did manage to generate a lot of new ideas. These ideas will now go before the baying bloodthirsty audience (that's you, folks) to test them for viability.
A central thread running through could be: if you want something, you have to define it, then code it, rather than assuming you can get if for free through some other approach.
To provide inspiration and direction to my thought process, I first listed all the easy responses that we generally give to most proposals for AI control. If someone comes up with a new/old brilliant idea for AI control, it can normally be dismissed by appealing to one of these responses:
Important background ideas:
I decided to try and attack as many of these ideas as I could, head on, and see if there was any way of turning these objections. A key concept is that we should never just expect a system to behave "nicely" by default (see eg here). If we wanted that, we should define what "nicely" is, and put that in by hand.
I came up with sixteen main ideas, of varying usefulness and quality, which I will be posting in the coming weekdays in comments (the following links will go live after each post). The ones I feel most important (or most developed) are:
While the less important or developed ideas are:
Please let me know your impressions on any of these! The ideas are roughly related to each other as follows (where the arrow Y→X can mean "X depends on Y", "Y is useful for X", "X complements Y on this problem" or even "Y inspires X"):
EDIT: I've decided to use this post as a sort of central repository of my new ideas on AI control. So adding the following links:
Short tricks:
High-impact from low impact:
High impact from low impact, best advice:
Overall meta-thoughts:
Pareto-improvements to corrigible agents:
AIs in virtual worlds:
Low importance AIs:
Wireheading:
AI honesty and testing: