APPROACH TO DIGITAL TWINS IN MUSIC
DOI:
https://doi.org/10.21134/b0et4n44Keywords:
Digital twins, human digital twin, text and data mining (TDM) techniques, copyright license, data protection, reputational risksAbstract
The paper analyzes the emergence of digital twins, a technology originating in the industrial sector that has now reached the music industry, generating significant legal challenges. Given the need to clarify the nature of the digital twin (DT), the study offers an overview of its technical structure, which is particularly complex in the case of the human digital twin, based on biometric data and trained through generative AI. Its creation process is closely linked to text and data mining (TDM) techniques, raising issues related to the training of AI models on copyright-protected works. In the musical field, these twins enable the recreation of artists and performances, which requires specific consents, licenses for the materials used, and data‑protection safeguards. The work examines the necessary inputs and the resulting legal obligations, as well as the legal nature of the output, which does not constitute a protected work. The study also addresses reputational risks and the need to anticipate contractual liability.
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