Hundreds of artists have launched a campaign demanding that artificial intelligence systems obtain licensing deals to use their creative work [1].
The movement highlights a growing conflict between the generative AI industry and the creative class over intellectual property rights. As AI models train on vast datasets of existing art and media, creators argue that their livelihoods are being undermined by unauthorized reproduction.
Artists, including Scarlett Johansson and Cyndi Lauper, said the practice of using their work without permission or payment is theft [1]. The campaign seeks to establish a legal and financial framework where AI companies must compensate artists for the data used to train their systems [1].
The participants said that AI systems copy and reproduce creations without consent [1]. This process allows AI to mimic specific styles and outputs, often resulting in content that competes directly with the original creators, without providing any royalties or credit [1].
Coordinated through social media platforms and public statements, the campaign emphasizes that the current model of AI development relies on the unauthorized acquisition of intellectual property [1]. The artists involved seek a shift toward a licensing model similar to those used in the music and film industries.
This effort follows a series of disputes over how large language models and image generators scrape the internet for training data. While some AI developers argue that this process falls under fair use, the artists said that the scale of reproduction constitutes a systemic violation of their rights [1].
The campaign gained significant visibility in April 2024, as artists sought to bring public attention to the lack of compensation in the AI pipeline [1].
“Hundreds of artists have launched a campaign demanding that artificial intelligence systems obtain licensing deals”
This campaign represents a critical pivot from individual lawsuits to a collective industry demand for a standardized licensing infrastructure. If successful, it could force AI developers to move away from 'open scraping' and toward a paid-access model, potentially altering the cost structure of AI training and establishing new legal precedents for digital intellectual property in the age of generative media.




