Propiedad intelectual en la era de la IA
The article argues that current intellectual property frameworks, which are rooted in the concept of human authorship, face a critical challenge from autonomous AI-generated content. It identifies a significant legal vacuum concerning who holds rights and responsibilities when algorithms create works without direct human intervention. This ambiguity raises ethical concerns about the use of existing human-created data for AI training, potentially infringing on the rights of original creators whose works were used as learning material without permission. To address this issue, the text concludes that AI cannot be considered a legal subject or author, as it lacks the biological and conscious attributes required for personhood. Instead, intellectual property rights and corresponding liabilities must be assigned to the human developers and legal entities that create and deploy the software. This approach ensures that those who design the autonomous systems retain control and accountability, treating the technology as an advanced tool rather than an independent creative agent. This perspective is vital for open data and open knowledge communities because it clarifies the governance of AI-generated outputs. If AI creations are protected and attributed to their developers, it impacts how such data can be freely shared, reused, or integrated into public datasets. Establishing clear ownership prevents legal uncertainty, fostering a more stable environment for innovation while protecting the foundational works that fuel these technologies.
Source: iprofesional.comPublished on 2023-07-08