The American image bank Shutterstock has joined the technology of conversion of text into images created “ethically and ready to be licensed”, as the company has stressed in a statement. Thus, this tool will become part of Creative Flow, the set of functions that Shutterstock offers to provide users with the “most fluid possible” creative experience.

In this sense, the company allows users to create images from the text they write directly from its platform. This feature is available to all paying users globally and in all languages ​​offered by the website, which number more than twenty.

Shutterstock has partnered with industry companies such as OpenAI, Meta, and LG AI Research to create generative AI capabilities that “responsibly” produce images for their clients.

Specifically, Shutterstock will offer images of the DALL-E program to its clients as one of the first implementations through the OpenAI Application Programming Interface (API). Thus, according to the CEO of OpenAI, Sam Altman, they look forward to future collaborations “as AI becomes an integral part of artists’ creative workflows.”

For his part, the executive director of Shutterstock, Paul Hennessy, explained that it is an “easy-to-use” platform that “will transform the way in which people tell stories”, since it is created with the aim of training users to bring their visions to life “without having to learn how to write complex instructions.

In addition, he has emphasized that, with this new platform, the artists who collaborate with their works in the development of these models are assured that they will be “recognized and compensated”. In fact, Shutterstock is committed to paying artists through a contributor fund.

On the other hand, the company does not allow users to post images that are generated by other AI tools. As Shutterstock explains on its page, content generated by AI cannot be uploaded to the platform since collaborators “must verify that they are the intellectual owners of all the content they submit.”

This is because AI content generation models “make use of the intellectual property of many artists and their content.” Therefore, the property cannot be assigned to a single individual, but “must compensate all the artists who have participated in the creation.”

Source: dpa

(Reference image source: Deepmind, unsplash)

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