Perhaps one of the most massive events of 2022 has been artificial intelligence software such as Midjourney and Dall-E, which visualize everything we describe “within its capabilities”. When the outputs of these software did not look like works of art – on the surface – digital reaction actions started with a new anti-artificial intelligence movement.
Of course, artificial intelligence that designs images according to the texts you say or gives you extremely human-like responses in writing is not new. However, this is the first time that such advanced versions have been made available to millions of people. As such, artificial intelligence has suddenly become our most important assistant in software development or visual design.
What about art? In other words, visual works produced as a result of communication with the human mind-hand, whose primary purpose is aesthetic rather than trade? Now, even if you lack the skills of artists, thanks to these artificial intelligences, you can create works that “look like a work”.
Artificial intelligence works are not as “authentic” as real works of art, because they are all highly sophisticated replicas with traces of millions of real works:
A signature is placed in the lower left corner of a drawing by Lensa. This signature is known to come from any work analyzed and stylistically copied by Lensa. Similar situations can be found in most portrait-oriented applications.
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But let alone these copying traces, people, sometimes even software, have a hard time understanding:
The reason is simple: You can find Van Gogh’s original composition with brush marks only in his paintings. However, even if you don’t call an artificial intelligence Van Gogh, the data on the quality of what you want is predominantly in Van Gogh’s paintings, and the results also include his brush marks. In other words, artificial intelligence uses what has already been made, it does not produce anything new.
In addition, the biggest data source of artificial intelligence is the works born in digital. For this reason, those who produce works on which intense thought and effort are spent are reactive to the subject.
This situation mobilized the artists and digital actions against artificial intelligence started, this is one of the banners used in the protests:
“NO TO IMAGES CREATED BY ARTIFICIAL INTELLIGENCE”
These actions also show their effect on ArtStation, one of the digital art channels. Artists constantly share this image:
ArtStation is a kind of social media for digital arts, artists too. a catalog where they showcase their portfolios like. The reason for the reactions is the high value given to the artificial intelligence-produced visuals that started to take over the platform.
ArtStation management, on the other hand, stated that they carried out a series of studies for the artists to tag the images designed with artificial intelligence and that they were able to use the images originating from artificial intelligence. not radically opposed explained.
This is how digital artist Beeple, considered one of the pioneers of the NFT revolution, supported the movement:
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The artificial intelligences that the artists react to have already become commercial assistants…
For example, game companies use these artificial intelligence software for space, environment or character designs in games, thereby reducing their working time. Of course, the real work, namely the product, is revealed by the digital art teams at these companies.
What do you think will be the results of the reactions of the artists and the actions against artificial intelligence? We are waiting for your comments, stay tuned…