Hanson, is one of many professional artists whose work was included in the data set used to train Stable Diffusion, a popular publicly available open-source AI image generation tool. She's one of several artists interviewed were unhappy to learn that pictures of their work were used without someone (inform) them, asking for consent, or paying for their use.
Once available only to a select group of tech insiders, text-to-image AI systems are becoming increasingly popular and (power). These systems include Stable Diffusion, from a company that recently raised more than $100 million in funding, and DALL-E, from a company that has raised $1 billion now.
In just months, millions of people (enter) text-to image AI systems and they are already being used to create experimental films, magazine covers and images to illustrate news stories. An image (generate) with an AI system called Midjourney recently won an art competition at the Colorado State Fair, and caused uproar(怨愤) among artists.
But as artists like Hanson have discovered that their work is being used to train AI, it raises. an even more fundamental concern: that their own art is (effective) being used to train a computer program that could one day cut into their livelihoods. Anyone who generates images with systems such as Stable Diffusion or DALI -E can then sell them.
"I don't want to participate at all in the machine that's going to (cheap) what I do," said Daniel Danger, an illustrator and print maker who learned a number of his works were used to train Stable Diffusion.
