Artificial intelligence (AI) is a rapidly evolving technology, and it’s now being used to create art. While AI-generated images can be hilarious, they can also be disturbing and unsettling. Some of the art generated by AI can even appear to be a satire of classic masterpieces, which raises ethical concerns about its use. But what does the future hold for this new medium?
In just over a year, text-to-image AI art generators have gone from closed betas to being almost everywhere. Whether it’s DALL*E 2 or Imagen, or the more art-focused Stablecog or Ganbreeder, these apps allow users to generate interesting, funny, or downright weird images simply by typing in a prompt.
The generative art that these AI programs produce is the result of an algorithm that learns and adapts to different inputs, or “data.” Each program analyzes data from hundreds of thousands, millions, or billions of other images and text combinations. Eventually, these algorithms begin to understand what makes an image interesting or attractive and then they try to replicate those factors in their own output.
It’s important to note, though, that even with a large dataset, AI still has limitations. While it can be impressive to see how an algorithm recognizes the difference between dogs and cats, or Vermeers and Picassos, a computer still has trouble recognizing more complex meanings and symbols in art.
This is due to the fact that artists do not simply use random lines and colors to make a painting. They take a great deal of thought and planning into their compositions. They look for shapes, proportions, and angles that are more pleasing to the eye. They may even use the scientific principles of optics to convey light and perspective.
In an attempt to overcome these limitations, some programs are trying to teach ai fursona creator to understand artistic concepts and the nuances of creating a composition. This is known as art AI and it’s a fairly new field of study that involves teaching a computer to create images in accordance with a desired aesthetic.
For example, some programs have trained an algorithm to learn what a good composition looks like by using data from paintings that are considered to be good, such as the Mona Lisa and the Taj Mahal. Other art AI programs are attempting to analyze and identify specific artistic elements in a piece of work, such as identifying brush strokes or recognizing certain types of colors or textures.
The most obvious consequence of this new medium is that the average price of art will likely decrease, since it will be easier and cheaper to produce by a machine. To combat this, it may be necessary to make greater efforts to divide art markets, segregating human and AI-made goods more definitively. But more importantly, it will be critical to ensure that the public is aware of the difference between human and AI-made art. This will help keep the art market a desirable place for those who enjoy it, rather than a dangerously commoditized one.