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Copyright and Generative AI: Perspectives from STEM Professionals

The intersection of copyright law and Generative Artificial Intelligence (GenAI) has emerged as a cornerstone of the global regulatory agenda. To broaden this debate with a fresh perspective, Reglab conducted a pioneering study in Brazil, surveying professionals across the STEM fields (Science, Technology, Engineering, and Mathematics).

We engaged with computer scientists, software engineers, machine learning specialists, and academic faculty to explore how copyrighted works are utilized in training GenAI models. Through this empirical approach, we aimed to identify the primary technical challenges in developing remuneration mechanisms for the use of protected content.

Explore the insights from this exclusive research and understand the boundaries and possibilities of responsible AI development in the age of copyright.

Citar

RAMOS, P. H.; BARRETO, J.; GARROTE, M. Remuneração por Direitos Autorais em IA: Limites e Desafios de Implementação. Policy Briefs Reglab, n. 3. São Paulo: Reglab, 2025
Ramos, P. H., Barreto, J., & Garrote, M. (2025). Remuneração por direitos autorais em IA: Limites e desafios de implementação (Policy Briefs Reglab, No. 3). Reglab.
Ramos, P. H., J. Barreto, e M. Garrote. 2025. Remuneração por direitos autorais em IA: Limites e desafios de implementação. Policy Briefs Reglab, nº 3. São Paulo: Reglab.

Autores

  • Pedro Henrique Ramos
  • Julia de Albuquerque Barreto
  • Marina Garrote
  • Stephanie Mathias de Souza

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