Gadi Oron: “No es imposible que en unos años podamos tener un Spotify humano y otro de IA”

The resurgence of digital revenues in the creative industry highlights a pivotal shift, with online platforms now generating the majority of earnings and surpassing traditional media and live performances. This financial recovery demonstrates that, despite initial fears surrounding internet piracy and streaming, the adoption of proper licensing frameworks enables creators to sustain their livelihoods. The success of this model underscores the importance of establishing clear, enforceable rights frameworks that adapt to technological evolution rather than resisting it. However, the advent of artificial intelligence poses a significant threat to these gains, risking a substantial portion of creators’ income through unauthorized use and fraud. The core challenge lies in defining authorship: while fully automated content lacks protection, any human intervention in the creative process, no matter how minor, should warrant copyright recognition. To prevent market saturation by low-cost AI-generated content and ensure fair compensation, regulators must mandate transparency regarding data usage and enforce payment obligations on technology companies. This issue is highly relevant to open data, as it necessitates transparent mechanisms for tracking how creative works are used by AI systems. Ensuring that data regarding authorship and usage is accessible and verifiable allows for accurate royalty distribution and fraud detection. Without open standards for data reporting and attribution, the integrity of the creative economy is compromised, making transparency essential for balancing innovation with the protection of human creativity.

Source: lavanguardia.com
Published on 2024-11-22

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