As has been the case with the introduction of every breakthrough technology over the course of human history, artificial intelligence (AI)-generated imagery has been the subject of passionate discussion and controversy. A number of these discussions and worries may be traced back to the beginning of the industrial revolution. Some of t
hem are brand new and unique to this age. There are also significant and legitimate worries about this new technology, such as the possibility that it may become a tool to misdirect the public, an accessory to misinformation or provocation, or that it could influence public opinion on certain issues.
There are many additional considerations that are particular to the different vocations and professions. One of the first groups to express such concerns was the creative community, namely professionals in the fields of illustration, art direction, design, and artists. And despite the fact that some people are largely disinterested or positive about the subject, persons in these vocations have been among the most vocal opponents of allowing the general public access to technology of this kind.
An artificial intelligence may learn to recognize people, locations, and things in pictures by making use of deep learning and the massive quantities of photographs that are available to the public on the internet. However, in order to provide any results that even remotely approximate a grasp of a notion, the artificial intelligence makes use of a mathematical space that is referred to as a “latent space.”
One way to think about latent space is as a space that has an extra dimension for each and every variable that a picture or image of an item possesses. Additionally, one may consider it to be a coordinate space. It’s possible that latent space has hundreds of dimensions rather than simply two. As a result, the AI is able to produce compilations that are similar to ideas by arranging the photos in their respective relative places inside this area.