This is not really an issue that is new or limited to things that are called AI.
https://www.theregister.com/2013/08/06/xerox_copier_flaw_mea...
You’re fighting against “would it be reliable” but that isn’t the claim.
The claim is could it be better than human, and the answer is yes, it just depends on how well trained it is and the dataset.
But this is also entirely testable. I guarantee much like Go, if we set up a “human vs AI guess the blurry image” competition that AI will blow us out of the water. It’s simply a data * training issue, and humans don’t spend hours on end practicing enhancing images like they do playing Chess.
Again - it won’t be perfect, obviously. It will have false positives, of course.
Doesn’t mean it can’t be better than human.
Also GANs are pretty irrelevant, the model structure has nothing to do with the theory.
GAN produces totally different results if you slightly change the input.
So, as others are also saying, these "enhances" are great for decoration and absolutely should be ignored as facts or truth (specially when it comes to face and license plate and others used by the law enforcement).