Shutterstock partners with OpenAI to sell artworks created by artificial intelligence, and compensate artists
Today, Shutterstock announce It has partnered with OpenAI to provide AI photomontage services using the DALL-E API. Once the service is available, the company says it will allow customers to create images based on text prompts. respond to The prevailing moral criticism Of artwork created by AI, Shutterstock also says it will compensate artists “whose work has contributed to the development of AI models.”
give her It is a commercial deep learning image synthesis product created by OpenAI that can create new images in almost any artistic style based on text descriptions (called “claims”) by the person who wants to create the image. If you type “an astronaut riding a horse,” DALL-E will create an image of an astronaut on a horse.
DALL-E and other photomontage models, such as Midjourney and stable spreadhas ignited an emotional reaction from the artists who afraid Their livelihoods may be threatened by the new technology. In addition, photomontage models “learned” to create images by analyzing the work of human artists found on the web without the artist’s consent.
The new partnership with OpenAI will bring DALL-E’s ability to generate AI images (which is Available from OpenAI separately) to Shutterstock.com itself, so that site customers can create new images that may not be in the site’s library of photographs and artwork.
The Shutterstock ad came in the form of a file press releasealso mentioned in by The Verge. In the statement, OpenAI CEO Sam Altman revealed that the company licensed images from Shutterstock for DALL-E training starting in 2021. “The data we licensed from Shutterstock was critical to DALL-E training,” Altman said. To our knowledge, OpenAI has not previously disclosed whether it licensed any training material or if it came entirely from unauthorized web scraps.
Even as Shutterstock publicly embraces AI creation and editing tools, The Verge reports that the company will not allow contributors to sell AI-generated artwork that isn’t created using its partnership with OpenAI, citing copyright concerns about the source of images used to train non-photo models – DALL-E.
In light of the widespread ethical concerns raised by the artists, Shutterstock appears to have crafted its advertising message to deflect criticism from its adoption of artificial intelligence synthesis. For example, when the DALL-E integration on Shutterstock.com launches in the “coming months,” Shutterstock says that contributors will be “compensated for the role their content played in the development of this technology.”
Shutterstock’s statement did not provide further details on how the compensation plan would work, but James Vincent of The Verge speak with A Shutterstock spokesperson who described a “revenue share compensation model” whereby Shutterstock contributors whose content helped train generative models would receive “a share of the entire contract value paid by platform partners” in proportion to the amount of their content in “purchased datasets.” will occur. Payment every six months. This creates a system in which Shutterstock can license its image catalog and artwork to companies like OpenAI to train their models.
Meanwhile, with Shutterstock moving toward selling artwork created by artificial intelligence with open arms, competitor Getty Images is the same. Take a different approach, as reported by The Verge in a separate piece. In an interview with the outlet, Getty Images CEO Craig Peters expressed caution about AI-generated artworks being adopted too quickly due to unresolved copyright issues. “I think we’re watching some organizations and individuals and companies being reckless,” Peters said. “I think it’s dangerous. I don’t think it’s responsible. I think it could be illegal.”
Getty Images Sale Ban of artwork created by artificial intelligence through its service in September, but The Verge Reports Getty is partnering with an Israeli company called Bria to provide AI-powered editing tools that can alter the content of existing photos, such as changing a person’s expression or skin color. Expect more moves from artists and competitors alike as the community reacts to the news in this rapidly evolving field.
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