Propiedad intelectual en la era de la IA

This article addresses the critical gap in intellectual property law concerning content generated autonomously by artificial intelligence. It argues that, because AI lacks legal personhood and biological agency, it cannot be a subject of rights or hold authorship. Consequently, the traditional human-centric copyright framework remains the only viable solution, necessitating a clear reassignment of ownership to the developers and entities that create and deploy the underlying algorithms. The text highlights the legal and ethical complexities arising from AI training data, which often incorporates existing creative works without permission. By establishing that developers are the true authors, the proposal aims to mitigate these infringements while ensuring accountability. This approach protects the rights of both the original creators whose data was used and the innovators behind the technology, creating a secure legal environment that acknowledges the tool’s role without attributing independent creative intent to the machine. This discussion is highly relevant to open data, as it underscores the necessity of defining clear ownership and usage rights in the age of automated content generation. For open data initiatives, clarifying who holds the rights to AI-derived outputs ensures that data ecosystems remain legally transparent and sustainable. It prevents ambiguity that could stifle innovation or lead to litigation, thereby encouraging the responsible and lawful integration of AI tools within open data frameworks.

Source: iprofesional.com
Published on 2023-06-14

Open Data

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