Propiedad intelectual en la era de la IA

The article addresses the legal ambiguity surrounding copyright and intellectual property when works are generated autonomously by artificial intelligence. It highlights the tension between traditional legal frameworks, which protect human creators, and the emerging reality of AI systems that produce content with significant independence, challenging the conventional definition of authorship and raising questions about the attribution of rights. The core conclusion posits that AI cannot be considered a legal subject or owner of rights. Instead, responsibility and ownership must be assigned to the human developers and entities behind the software. Since algorithms are tools created by humans to achieve specific ends, the legal burden and benefits of the resulting works belong to their creators, not the machine. This approach ensures accountability for potential damages while protecting the interests of those who developed the technology. This discussion is crucial for open data because it establishes the necessary legal boundaries for using and distributing data trained by AI. Clear attribution of ownership to developers clarifies licensing obligations and access rights for datasets, preventing legal uncertainty that could hinder innovation. By defining humans as the rightful holders of AI-generated outputs, the framework supports a more predictable environment for sharing, reusing, and building upon data-driven works within the open data ecosystem.

Source: iprofesional.com
Published on 2023-06-19

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