In theory, if humans and AIs aligned on their generative models (i.e., if there is methodological, scientific, and fact alignment), then goal alignment, even if sensible to talk about, will take care of itself: indeed, starting from the same “factual” beliefs, and using the same principles of epistemology, rationality, ethics, and science, people and AIs should in principle arrive at the same predictions and plans.
What about zero sum games? If you took took an agent, cloned it, then put both copies into a shared environment with only enough resources to support one agent, they would be forced to compete with one another. I guess they both have the same “goals” per se, but they are not aligned even though they are identical.
If anyone is interested in joining a learning community around the ideas of active inference, the mission of https://www.activeinference.org/ is to educate the community around these topics. There’s a study group around the 2022 active inference textbook by Parr, Friston, and Pezzulo. I’m in the 5th cohort and it’s been very useful for me.