I think the closest we might get to actually learning what it is like to be a bat is by unsupervised learning + a bit of manual labelling on top. A neural net could learn their states and dynamics, by training on a million hours of bat recordings. These representations will already encode bat states and values, so we just need the bridge to human language, which is easy to build with a pretrained language model.

This approach works for any species, neural nets can do it because they can do unsupervised learning. I bet we'll see pet translator apps popping up. Maybe we can monitor the environment by listening in on animal chatter.