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Artificial intelligence tools that can conjure whimsical artwork or realistic-looking images from written commands started wowing the public last year. But most people don't actually use them at work or home.
That could change as leading tech companies are competing to mainstream the use of text-to-image generators for a variety of tasks, integrating them into familiar tools such as Microsoft Paint, Adobe Photoshop, YouTube and ChatGPT.
But first, they're trying to convince consumers, business users and government regulators that they've tamed some of the Wild West nature of early AI image-generators with stronger safeguards against copyright theft and troubling content.
A year ago, it was a relatively small group of early adopters and hobbyists playing with cutting-edge image generators such as Stable Diffusion, Midjourney and OpenAI's DALL-E.
“The previous ones were an interesting curiosity,” but businesses were wary, said David Truog, an analyst at market research group Forrester.
Then came the backlash, including copyright lawsuits from artists and photo stock company Getty, and calls for new laws to rein in generative AI technology's misuse to create deceptive political ads or abusive sexual imagery.
Those problems aren't yet resolved. But now there's a proliferation of new image generators from makers who say they're business-ready this time.
“Alexa, create an image of cherry blossoms in the snow,” is the kind of prompt that Amazon says U.S. customers will be able to speak later this year to generate a personalized display on their Fire TV screen.
Adobe, known for the Photoshop graphics editor it introduced more than three decades ago, was the first this year to release an AI generator designed to avoid legal and ethical problems created by competitors who trained their AI models on huge troves of images pulled off the internet.
“When we talk to customers about generative technology, mostly what we hear is a lot of the technology is really cool, but they don’t feel like they can use it because of these questions,” said Adobe’s chief technology officer, Ely Greenfield.
That's why Adobe's product, called Firefly, was built on its own Adobe Stock image collection, as well as content it has license to use. Stock contributors also are getting some compensation out of the arrangement, Greenfield said.
“Adobe Firefly is clean legally, whereas the others are not," said Truog, the Forrester analyst. “You don’t really care about that if you’re just some dude having fun with generative AI.”
But if you’re a business or a creative professional thinking about using images on your website, apps, or in print layouts, advertising or email marketing campaigns, “it’s kind of a big deal,” Truog said. “You don’t want to be getting into trouble.”
Some competitors are taking note. ChatGPT-maker OpenAI unveiled its third-generation image generator DALL-E 3 on Wednesday, emphasizing both its impressive capabilities, its future integration with ChatGPT and new safeguards to decline requests that ask for an image in the style of a living artist. Creators can also opt their images out from training future models, though Truog notes that OpenAI hasn't said anything “about compensating authors whose work they use for training, even with permission.”
In separate New York City showcase events Thursday, both Microsoft and Google-owned YouTube also unveiled new products infused with AI image generation.
Microsoft, a major investor in OpenAI, showed how it is already starting to bake DALL-E 3 into its graphics design tools, mostly for background editing, as well as its Bing search engine and chatbot. YouTube revealed a new Dream Screen for short YouTube videos that allows creators to compose a new background of their choosing.
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AP business writers Cora Lewis and Haleluya Hadero contributed to this report.