![]() “ We’ve also built detectors to make sure we intercept biases and then we change the prompt to reduce the bias,” Costin said. According to Costin, Adobe has been utilising stringent and tough internal feedback for Firefly to ensure that it works well and doesn’t fall into stereotypical generative AI traps. One of the biggest problems with AI being pushed out so quickly has been limitations and bugs. “A nd then in the same light we announced the ‘do not train’ tag which will retain inside the content itself a metadata piece that includes the artist’s declaration if he or she is or is not okay with other companies training on their content,” Costin said. It will now also mark anything created by Firefly as AI-generated content so users can make informed decisions about whether to use that asset. ![]() “This gives us the confidence that the model not only will be high quality, but will reduce the risk of generating involuntarily trademarked or copyrighted content.”Īdobe is also expanding its content authenticity initiative which adds a cryptographic signature within a piece of content to track any changes and guarantee authenticity. In addition to intellectual property and trademarked content, this system will also check for pornographic content. “For the new stuff we’re bringing in, public domain from museums etcetera, we are building filtering systems to make sure whatever we ingest we check against some of those concerns.” ![]() These are our customers… we wouldn’t want to impact them in a negative way.”Īccording to Costin, Adobe Stock has 300 million assets to draw from, each of them looked at by human curators for approval and to ensure no trademarked content is added to the library. “All the scraped stuff we didn’t touch it because we actually care. “The Firefly training data set is an area that we took a very different approach than other players,” Alexandru Costin, vice-president of Generative AI and Sensei ML platform at Adobe, said in an interview with SmartCompany.
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