[ETA: This isn’t a direct reply to the content in your post. I just object to your framing of impact measures, so I want to put my own framing in here]
I tend to think that impact measures are just tools in a toolkit. I don’t focus on arguments of the type “We just need to use an impact measure and the world is saved” because this indeed would be diverting attention from important confusion. Arguments for not working on them are instead more akin to saying “This tool won’t be very useful for building safe value aligned agents in the long run.” I think that this is probably true if we are looking to build aligned systems that are competitive with unaligned systems. By definition, an impact penalty can only limit the capabilities of a system, and therefore does not help us to build powerful aligned systems.
To the extent that they meaningfully make cognitive reductions, this is much more difficult for me to analyze. On one hand, I can see a straightforward case for everyone being on the same page when the word “impact” is used. On the other hand, I’m skeptical that this terminology will meaningfully input into future machine learning research.
The above two things are my main critiques of impact measures personally.
[ETA: This isn’t a direct reply to the content in your post. I just object to your framing of impact measures, so I want to put my own framing in here]
I tend to think that impact measures are just tools in a toolkit. I don’t focus on arguments of the type “We just need to use an impact measure and the world is saved” because this indeed would be diverting attention from important confusion. Arguments for not working on them are instead more akin to saying “This tool won’t be very useful for building safe value aligned agents in the long run.” I think that this is probably true if we are looking to build aligned systems that are competitive with unaligned systems. By definition, an impact penalty can only limit the capabilities of a system, and therefore does not help us to build powerful aligned systems.
To the extent that they meaningfully make cognitive reductions, this is much more difficult for me to analyze. On one hand, I can see a straightforward case for everyone being on the same page when the word “impact” is used. On the other hand, I’m skeptical that this terminology will meaningfully input into future machine learning research.
The above two things are my main critiques of impact measures personally.