In a bold countermeasure against AI companies accused of appropriating artists’ works for training AI models, visual artists are adopting unconventional tools to disrupt and confound these systems. One such innovative tool, Nightshade, developed by the research team at the University of Chicago, introduces a unique approach. While it may not counteract existing AI models trained on artists’ creations, Nightshade holds the promise of perplexing and undermining future AI models. Ben Zhao, the lead researcher, envisions a world where AI companies are compelled to either revert to older versions of their platforms or cease using artists’ works altogether, emphasising the necessity for ethical boundaries in AI development.
To delve deeper into the evolving landscape where art and artificial intelligence intersect, you can explore the full article here. Join us in unravelling the intricate dynamics between artists and AI, witnessing the birth of innovative tools designed to protect the integrity of creative works.
Note: The full article can be viewed on npr.org website here.
Illustration credit: Kurt Paulsen/Kudurru
