So, concerning ethical approaches to model development, there are many things worth looking into: copyright is one, environmental cost is another, and whether there are any additional concerns worth taking into account. The list of these concerns can then be used for decision making, and we can ask things like "given what we want to build, can does picking a location that gives us lower environmental cost add so much time or cost that we can't go for that path?", things like that are't crrazy.

When it comes to how humans interact with AI we can ask things like "would it be better if people could detect AI output?" "how can we alleviate skill loss from excessive AI reliance?" Things like this can decide how the models behave. Imagine if taking concerns like this seriously leads to models that are easy to learn from. At the moment people seem to be moving away from that so as to make distillation difficult, worsening this concern.

I'm not going to try to talk about machine consciousness, but these other things are definitely important questions where someone digging into them could make models interact better with society.