[Question] Does iterated amplification tackle the inner alignment problem?

When iterated distillation and amplification (IDA) was published, some people described it described as “the first comprehensive proposal for training safe AI”. Having read a bit more about it, it seems that IDA is mainly a proposal for outer alignment and doesn’t deal with the inner alignment problem at all. Am I missing something?