Arte, creación y propiedad intelectual

The article highlights that the distinction between human-generated and AI-generated content is rapidly blurring, making visual or auditory detection increasingly difficult. In response, an ecosystem of “AI battles” is anticipated, in which automatic detectors, blockchain, and open-source codes will enable the verification of authenticity and maintain the transparency necessary to preserve the credibility of journalism and democracy in the face of disinformation. From a legal and creative perspective, it is concluded that machines lack sensitivity and genuine creative intent, limiting themselves to imitating human styles based on existing data. This poses a crucial challenge for intellectual property, as the current legal framework requires human authorship to grant copyright or patent rights, leaving fully algorithm-generated works in a legal vacuum and raising the need for new definitions of authorship. This discussion is fundamental to the open data movement because it underscores the critical importance of transparency, traceability, and equitable access to technologies. By relying on open-source systems and distributed verification tools to combat disinformation and manage rights over training data, the open-source community ensures that technological innovation does not create monopolies or erode public trust in verifiable information.

Source: perfil.com
Published on 2024-05-13

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Open Data

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