Crear con inteligencia artificial también tiene dueño - LegalToday
The article highlights the fundamental challenge that generative AI poses to traditional copyright frameworks, which are built on the assumption that authors are human beings. While current laws maintain that only natural persons can hold rights, the ease of AI creation blurs the line between mere tool usage and genuine human creative contribution. This distinction is crucial, as determining sufficient human intervention to claim authorship will become a complex legal hurdle in the coming years. A more pressing issue concerns the training data used by AI models. Since these systems learn from vast amounts of existing creative works, often without explicit consent or compensation, the debate shifts from authorship to the economic and legal rights of original creators. The text emphasizes that public availability of content does not negate copyright protection, raising questions about who benefits when AI generates works resembling existing art, literature, or code. This content is vital for open data because it exposes the tension between data accessibility for AI training and intellectual property rights. It underscores that open data initiatives must navigate these legal constraints to ensure ethical and lawful use of information. Ultimately, it warns that technological ease does not equate to legal freedom, urging a clear separation between content generation and usage rights in an increasingly automated digital landscape.
Source: legaltoday.comPublished on 2026-09-23
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