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Shutterstock will protect customers from lawsuits when using AI-created images

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Shutterstock has unveiled plans to boost business confidence in AI by offering corporate users full indemnity in the event of lawsuits when using generated images.

The stock photo site will manually verify images created using artificial intelligence.

"This is an important advancement not only for our platform, but for the entire industry, as creatives and business professionals can use AI content created on our platform for any purpose, whether commercial or personal, without worrying about copyright infringement or ethical concerns," said Jeff Canning, Shutterstock's vice president of product.

John Lapham, general counsel at Shutterstock, said, "We are at a tipping point in the use of generative AI technology, as business professionals are looking for more assurances about their rights to legally embed such content, and creators want to make sure their work will be fairly used in accordance with the license."

Shutterstock's new rules will apply to all corporate users.

Adobe previously announced similar measures. The company will compensate for any copyright claims related to works created by its Firefly AI tool. Compensation will be paid in lieu of corporate customers.

The integration of Artificial Intelligence (AI) into business operations marks a transformative era, enhancing efficiency and innovation across industries. From revolutionizing HR with automated recruitment to aiding early disease detection in healthcare, AI's impact is profound. It enables predictive cybersecurity, personalized customer interactions, and accelerated software development in IT. 

Lots of news from technology vendors and modern cases on how to use data analytics for operations excellence – this is what March brought us this year.

In this issue we looked at the drivers and bright trends in retail. AI will undoubtedly be the leader among technologies for several years ahead in retail, and in the economy in general. Its emergence in wide access has opened up incredible opportunities for improving business efficiency.

“Before the automation introduction, the process was complicated by the fact that the address system was stationary, not dynamic. We could not automate serial and batch accounting of products. It was not possible to automate the warehouse replenishment processes, both planned and on order. The accounting system did not reflect all goods movements,” says Alexander Permyakov, head of the warehouse complex.

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