As more people "like and share" AI generated images on line, the more important transparency and attribution becomes. Why is it okay to make and share these -- and then make the general public decipher the clues about what they are looking at?? AI generated images are here to stay. The madcap proliferation of these images comes at a price.
Social media thrives on image sharing. Companies profit by keeping eyes engaged on "content." This word is reductive. Creative work has value. It's produced with effort and experience. It's posted with pride and as a way to connect with fans. It's not provided for unauthorized commercial use. Or exploitation.
Social media has built a successful business model by appropriating artWORK, posted by creators, which then gets shared without credit or compensation -- or even a reliable way to trace back to the original source. Being able to trace back to the first post would help the artists connect with fans who "like" their work as it gets shared around. Instead we have business models that work well for platforms. But not for people.
Meanwhile, in cases like this "Gustave Klimt -- Garden Cat," the "credits" seem intentionally misleading. This image was posted on a public Facebook page. And the comments thread was quickly filled by fans calling out the use of AI. However, the attribution to the image never changed.
All of the AI generated images are only possible thanks to copyright protected art that is scraped for datasets and used without credit or compensation. This is wrong. And NOW is the time to put guard rails in place.
Artists are testifying in Washington, DC. Artist industry organizations are educating members, and lawmakers, to push for protections to vital creative rights.
The link below features a statement by artist Jean-Baptiste Monge on how AI generate images have robbed him of agency over his own name as well as his signature style of work.
http://stuartngbooks.blogspot.com/2023/09/jean-baptiste-monge-on-impact-of.html
This post on the blog has more resources for basics on copyright and other creative rights:
https://stuartngbooks.blogspot.com/2023/09/copyright-trademark-and-ai-image.html
If only AI could be trained to post with a disclaimer/attribution any time it is used. Artists have no no "opt out" for the dataset building/scraping process. The
AI generated images produced can be captivating. But we must be discerning
about what we see online. Especially when there is a suggestion of cultural context... or appropriation...
Another case study is these images identified as "watermelon art." Each had thousands of "likes" -- and were assumed by most in the comments to be carved from watermelons. Meanwhile, real artists who sculpt watermelons into decorative shapes called out these fakes in the comments threads.
The clues are the paws!
We all have an obligation to view what we see online with a discerning eye. Be proactive. Be protective of creative rights. Have a higher expectation than what's easy.
For now, AI struggles with depicting hands. Anything with digits (paws etc), often looks wrong. This remains a strong clue that AI image generation was used.
This 2023 Vox video explores "Why AI Struggles with Hands"
Another clue is proportion. Especially as you enlarge the image.
Looking
at captivating online images with a discerning eye is a critical first step we
all need practice with. There are clues here that indicate this image has been
manipulated. The biggest one is the scale of the flowers to the building is
off. The proportions are fantasy level. If you enlarge the image there is a
“@verbamystica” credit at the top. Once you enlarge the image the inconsistencies
in the depictions of the windows also become more obvious. These images are fun
to enjoy. But we all need to be mindful to decipher the clues. An online search
for “who is verbamystica?” reveals an Instagram account for a digital artist.
Some images are posted with a camera icon, or other "credits," that attempt to validate the picture as original and unique. But usually there is no credit at all. Just a fantastical image. With viewers left to wonder... is that real???
Update 2.25.24 -- the Facebook Page "AI Spotting" posts tutorials on how to decipher AI images. Here are samples from that page:
Deploy the SIFT system. Stop. Investigate. Fact-check. Trace back to the original source.
http://stuartngbooks.blogspot.com/2023/08/sift-stop-investigate-fact-check-trace.html
UPDATE 9.18.23 -- You Tube video "AI art is going to have consequences" from channel TB Skyen circa March 2023.
Check out this blog post on AI images being appropriated to sell non-existent products:
http://stuartngbooks.blogspot.com/2023/08/beware-ai-image-generated-non.html
Also this post on the Nov 2022 episode "Why Society Hates Creative People (and what to do about it)" from the You Tube channel "Design Theory" http://stuartngbooks.blogspot.com/2023/08/why-society-hates-creative-people-notes.html
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