Artificial Intelligence Trained to Draw Inspiration From Images, Not Copy Them
![Three rows of similarly themed illustrations—earnest dogs, scientist pandas and robot graffiti—differ in each of five iterations per row.](/sites/default/files/styles/275_x_150/public/2024-05/high_level_with_consistency_article.png?itok=j64a1O_A)
05/17/2024 - Researchers are using corrupted data to help generative AI models avoid the misuse of images under copyright. Powerful new artificial intelligence models sometimes, quite famously, get things wrong — whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition.