As a side note because it wasn't too clear from your writing, but the weights are only tweaked a tiny tiny bit by each training image. Unless the trainer sees the same image a shitload of times (Mona Lisa, that one stock photo used to show off phone cases, etc) then the image can't be recreated by the AI at all. Elements of the image that are shared with lots of other images (shading style, poses, Mario's general character design, etc) could, but you're never getting that one original image or even any particular identifiable element from it out of the AI. The AI learns concepts and how they interact because the amount of influence it takes from each individual image and its caption is so incredibly tiny but it trains on hundreds of millions of images and captions. The goal of the AI image generation is to be able to create vast variety of images directed by prompts, and generating lots of images which directly resemble anything in the training set is undesirable, and in the field it's called over-fitting.
Anyways, the end result is that AI isn't photo-bashing, it's more like concept-bashing. And lots of methods exist now to better control the outputs, from ControlNet, to fine-tuning on a smaller set of images, to Dalle-3 which can follow complex natural language prompts better than older methods.
Regardless, lots of people find that training generative AI using a mass of otherwise copyrighted data (images, fan fiction, news articles, ebooks, what have you) without prior consent just really icky.
Dangan (弾丸) literally just means bullet, and Danganronpa doesn't use the kanji in its logo. The stripe with the English/romaji subtitle is the same color as the big text in the Danganronpa logo but it's inverted here.
It's fine.