December 22, 2024
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Shutterstock offers indemnification for AI images to Enterprise customers

Shutterstock offers the first AI image generator with indemnification
Shutterstock offers the first AI image generator with indemnification

Shutterstock, a leading global creative platform offering content and full-service creative workflow solutions for brands, digital media and marketing companies, yesterday announced its offering to provide Enterprise customers with full indemnification for the licence and use of generative AI images on its platform. Shutterstock will fulfil indemnification requests on demand via human review with the intent to protect its customers against potential claims related to their use of generative AI images created and licensed on shutterstock.com.

Shutterstock is positioned to bring a commercially viable image generator to market and indemnify its outputs.

“We’re at an inflection point in the use of generative AI technology as business professionals are seeking more assurance around their rights to legally use AI-generated content, and creators of original content want to ensure their work is fairly licensed for use,” said John Lapham, General Counsel at Shutterstock. “We have always sought to manage risk for our customers and are uniquely positioned to bring a commercially viable image generator to market and indemnify its outputs, because of our relationship with artists and intimate understanding of the complexities of licensing.”

John Lapham, General Counsel at Shutterstock

Previously unveiled during the Shutterstock Showcase, Shutterstock led the market, first offering this assurance to a global technology customer using an image generated on the Shutterstock platform for their worldwide virtual developer conference in May 2023. Shortly after, the company indemnified images for a leading cable network’s upcoming television series. The company is now expanding it to all enterprise customers on demand.

Jeff Cunning, Vice President of Product at Shutterstock

“This is a critical advancement, not just for our platform, but for the industry as creatives and business professionals alike can use the AI content generated on our platform for any purpose, whether it’s commercial or personal, without worrying about copyright infringement or ethical issues,” said Jeff Cunning, Vice President of Product at Shutterstock. “We’re excited to play a leading role in shaping how generative capabilities can be leveraged ethically, safely and in more creative ways than ever. We feel it’s a crucial step towards protecting our customers and our artists.”

While AI-generated images created by customers currently are not reviewed and vetted en masse on the Shutterstock platform, through this new offering, customers are able to license AI-generated content under the same protections that exist in their current agreement. That review will ensure that a customer using AI-generated content will not create any additional risk to that customer or their clients.

This indemnification offering is the latest in several strategic steps Shutterstock has taken as one of the leading innovators bringing AI to creative production, having recently launched its AI Design Assistant and DALL·E-powered AI Image Generator—Shutterstock’s text-to-image technology that converts prompts into larger-than-life, ethically created visuals ready for licensing. The Shutterstock AI image generator is trained on hundreds of millions of ethically-sourced assets, including from Shutterstock, with the goal of ensuring customers can generate and licence new assets with complete commercial safety while at the same time protecting and compensating the artists who are behind the content that trained the models. Shutterstock launched its Contributor Fund in October 2022 which, to date, has compensated hundreds of thousands of artists for the role their content IP has played in training Shutterstock’s generative technology, with anticipated payments to millions more, and has provided artists with ongoing royalties tied to licensing activity for newly generated assets.

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