Tres empresas fueron demandadas por usar imágenes con derechos de autor

Stability AI is facing lawsuits in the United States and the United Kingdom for using copyrighted images without consent to train its artificial intelligence models, such as Stable Diffusion. This legal dispute, considered a landmark case, challenges the practice of storing compressed versions of protected works in a “latent space” to generate new creations. Plaintiffs argue that this constitutes systematic appropriation that could reach an economic scale of billions of dollars. At the heart of the debate is the “diffusion” technique, which enables AI to reconstruct high-fidelity copies from training data through compression and random noise. Although the technology introduces a layer of abstraction via text descriptions, artists contend that all visual information derived from these models improperly originates from their protected works. Consequently, the generated images are considered unauthorized derivative works, regardless of their final appearance or the layer of technological “magic” that obscures their origins. This dispute is crucial for the open-data movement, as it highlights the tension between accessible technological innovation and the protection of intellectual property rights. The datasets used by AI often lack transparency regarding their origin and licensing, conflicting with principles of ethics and legality in information handling. By threatening the economic sustainability of creators, these lawsuits compel a rethinking of how datasets are collected, shared, and used, demanding greater clarity and respect for existing norms in the digital era.

Source: perfil.com
Published on 2023-01-22

Tres empresas fueron demandadas por usar imágenes con derechos de autor

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