If there with AGPLv3 AI, I would definitely try, would there be a reason not to use it? I wish there was a GPLv3 AI to install. I would not use a GPL2 AI.
As a real would code example of the difference between GPL2 and 3, not license but code, look at Linux kernel vs Linux-libre. For the limited hardware that a Linux-libre distribution supports, it’s a much smoother and cleaner system to run.
An AGPL3 AI can’t hide any nefarious or bias programming, so I see it truely working as a servant, while retaining zero information of users for data collecting. Look at open hardware like RISC V and how far that has come once companies saw they were free to engineer their own version of a RISC V CPU. It’s made RISC V to be at the very beginning point to get closer to ARM, when it was once worthless. Having a AGPLv3 AI for anyone to design their own version with everybody pushlishing their server source code for AI, would there be a downside to using it?
I would actually bring a parallel to the device driver-firmware blob split that’s common with hardware support in Linux. While the code needed to run inference with a model is straightforward and several open source versions exist already, the model itself is a bunch of tensors whose behaviour we don’t have any visibility into. Bias is less a problem of the inference code and more an issue with the data it was trained on