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AI search startup Perplexity has signed a multi-year licensing deal with Getty Images, allowing it to feature images from Getty across its AI-powered search and discovery tools. The deal marks a significant shift for the company, which has been plagued by allegations of content scraping and plagiarism, and signals efforts to establish more formal content partnerships.
Confusion and Getty have been working together for more than a year, a source familiar with the deal told TechCrunch. Although it was never announced, Getty was part of it Perplexity’s Publishers’ ProgramA plan to share ad revenue with publishers when their content appears in a search query, the source said.
Today’s deal is a new deal. A source told TechCrunch that it’s not a traditional lump sum licensing deal, since Perplexity doesn’t train its own basic models, but wouldn’t elaborate on the terms.
The confusion deal with Getty appears to validate some of the startup’s earlier use of Getty’s stock photos. Confusion came under fire for a last year A series of plagiarism allegations from Various news agencies. In one case, the startup was called out for pulling content from a Wall Street Journal article, including a Getty photo. In that piece.
Several outlets at this time to question Whether the confusion consists of the use of images Copyright infringement. A source told TechCrunch last year that Perplexity was working on a deal with Getty, but we couldn’t confirm the deal after reaching out to the stock image giant several times.
most recently, Reddit sued for confusion In October, it alleged “industrial-scale, illegal” scraping of user content and circumvention of technical measures to access data. Reddit has one Data Licensing Agreement with OpenAI.
Perplexity says its Getty deal will help it better display the images and include credit with links to the original source whenever the images appear in search results.
Nick Unsworth, Getty’s vice president of strategic development, said The agreement “recognizes the importance and value of appropriately responsible compliance in advancing AI-powered products.”
“Attribution and accuracy are fundamental to how humans should make sense of the world in the age of AI,” Jessica Chan, head of content and publisher partnerships, said in a statement. “Together, we’re helping people discover answers through powerful visual storytelling while always knowing where that content came from and who created it.”
A confusing emphasis on attribution is part of the strategy for countering copyright claims by arguing the use of a publisher’s content – the content or publishers behind a paywall. Clearly indicated that they do not want to scrap – Constitutes “fair use” because publicly available information is not copyrightable.