A team of computer science researchers at the University of Chicago recently released a tool called Nightshade, which is designed to preventAIThe system trains and learns from artworks. The principle of this tool is to add data at the pixel level, making it impossible for either humans or AI systems to simply recognize it, but if it is used to train an AI model, it reduces the model's analytical ability and makes it make incorrect judgments.
The team is led by Ben Zhao, and just five days after its release, the tool has been downloaded more than 250,000 times.Zhao says Nightshade was developed to provide artists with a tool to fight back by raising the cost of unauthorized use of content to train AI, so that AI developers have the option of paying artists a reasonable licensing fee.
Last year, the team also launched a tool called Glaze, which also adds hidden pixels to avoid styles being copied by machine learning algorithms. They are currently working on a tool that combines Glaze and Nightshade, but it still needs more testing before it can be launched.
This initiative has sparked concern and interest from users and the industry. As AI technology continues to evolve, the question of how to balance the rights and interests of artworks and the advancement of AI technology has become a matter of great concern. And the emergence of the Nightshade tool provides a new option for artists to better protect their works from unauthorized training and use.
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