The ELK document outlines a definition of "honesty" and argues that if you achieve that level of honesty, you can scale that to a whole alignment solution.
I agree that it doesn't necessarily matter that much if an AI lies to us, vs. it just takes our resources. But in as much as you are trying to use AI systems to assist you in supervising other systems, or in providing an enhanced training signal, honesty seems like one of the most central attributes that helps you get that kind of work out of the AI, and that also allows you to take countermeasures against things the AI is plotting.
If the AI always answer honestly to the question of "are you planning to disempower me?" and "what are your plans for disempowering me?" and "how would you thwart your plans to disempower me?" then that sure makes it pretty hard for the AI to disempower you.
You’re missing the steps whereby the AI gets to a position of power. AI presumably goes from a position of no power and moderate intelligence (where it is now) to a position of great power and superhuman intelligence, whereupon it can do what it wants. But we’re not going to deliberately allow such a position unless we can trust it. We can’t let it get superintelligent or powerful-in-the-world unless we can prove it will use its powers wisely. Part of that is being non-deceptive. Indeed, if we can build it provably non-deceptive, we can simply ask it what it intends to do before we release it. So deception is a lot of what we worry about.
Of course we work on other problems too, like making it helpful and obedient.
I see a lot of energy and interest being devoted toward detecting deception in AIs, trying to make AIs less deceptive, making AIs honest, etc. But I keep trying to figure out why so many think this is very important. For less-than-human intelligence, deceptive tactics will likely be caught by smarter humans (when a 5-year-old tries to lie to you, it's just sort of sad or even cute, not alarming). If an AI has greater-than-human intelligence, deception seems to be just one avenue of goal-seeking, and not even a very lucrative or efficient one.
Take the now overused humans-to-chimpanzee analogy. If humans want to bulldoze a jungle that has chimpanzees in it, they will just bulldoze the forrest, and kill or sell any chimps that get in their way. They don't say "okay, we're going to take these sticks of dynamite, and conceal them in these bundles of bananas, then we'll give the bananas to the chimps to earn their trust, and then, when the time is right, we'll detonate them." You just bulldoze the forrest and kill the chimps. Anything else is just needlessly convoluted.[1]
If an AI is smart-enough to deceive humans, and it wants to gain access to the grid, I don't see why it wouldn't just hack into the grid. Or the internet. Or server farms. Or whatever it's trying to get.
What am I missing? What situation in the future would make detecting deception in models important?
Ironically, deceptive tactics in this case would likely correlate with niceness. If you want to peacefully relocate the chimps without disturbing or scaring them, then you might use deception and manipulation. But only if you actually care about their wellbeing.