Generative AI’s Disruption on Intellectual Property Landscape in Brazil: A Sociotechnical and McLuhan tetrad Analysis
Resumo
Generative AI (GenAI) introduces transformative challenges and opportunities to Intellectual Property (IP) processes in countries like Brazil, where existing laws, such as Copyright and IP Laws, do not explicitly account for AI-generated nuances. This paper explores the emerging idea behind GenAI’s impact and disruptive potential on the current Brazilian IP landscape. Using a qualitative approach, we apply McLuhan’s tetrad analysis, informed by Sociotechnical Theory, to identify potential enhancements, obsolescence, retrievals, and reversals that GenAI can bring to IP management in Brazil. Our contributions include advancing the understanding of the influence of GenAI on IP and offering preliminary insights for stakeholders to address emerging challenges and optimize opportunities in Brazil’s evolving IP scenario.Referências
Alavi, M., Leidner, D., and Mousavi, R. (2024). Knowledge management perspective of Generative Artificial Intelligence (GenAI). Alavi, Maryam, pages 1–12.
Araújo, A. A., Kalinowski, M., Pereira-Júnior, E., Tomaz, E. B., and Souza, C. (2025). Supporting dataset. Available at: DOI: 10.5281/zenodo.14773195.
Bostrom, R. P. and Heinen, J. S. (1977). MIS problems and failures: a socio-technical perspective, part ii: the application of socio-technical theory. MIS quarterly, pages 11–28.
Feuerriegel, S., Hartmann, J., Janiesch, C., and Zschech, P. (2024). Generative AI. Business & Information Systems Engineering, 66(1):111–126.
Jackson, V., Vasilescu, B., Russo, D., Ralph, P., Izadi, M., Prikladnicki, R., D’Angelo, S., Inman, S., Lisboa, A., and van der Hoek, A. (2024). Creativity, Generative AI, and software development: A research agenda. arXiv preprint arXiv:2406.01966.
Mariani, M. and Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. Journal of Business Research, 175:114542.
McLuhan, M. (1977). Laws of the media. ETC: A Review of General Semantics, pages 173–179.
Araújo, A. A., Kalinowski, M., Pereira-Júnior, E., Tomaz, E. B., and Souza, C. (2025). Supporting dataset. Available at: DOI: 10.5281/zenodo.14773195.
Bostrom, R. P. and Heinen, J. S. (1977). MIS problems and failures: a socio-technical perspective, part ii: the application of socio-technical theory. MIS quarterly, pages 11–28.
Feuerriegel, S., Hartmann, J., Janiesch, C., and Zschech, P. (2024). Generative AI. Business & Information Systems Engineering, 66(1):111–126.
Jackson, V., Vasilescu, B., Russo, D., Ralph, P., Izadi, M., Prikladnicki, R., D’Angelo, S., Inman, S., Lisboa, A., and van der Hoek, A. (2024). Creativity, Generative AI, and software development: A research agenda. arXiv preprint arXiv:2406.01966.
Mariani, M. and Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. Journal of Business Research, 175:114542.
McLuhan, M. (1977). Laws of the media. ETC: A Review of General Semantics, pages 173–179.
Publicado
19/05/2025
Como Citar
ARAÚJO, Allysson Allex; KALINOWSKI, Marcos; PEREIRA JÚNIOR, Elias; TOMAZ, Emerson B.; COSTA, Catarina.
Generative AI’s Disruption on Intellectual Property Landscape in Brazil: A Sociotechnical and McLuhan tetrad Analysis. In: TRILHA DE TEMAS, IDEIAS E RESULTADOS EMERGENTES EM SISTEMAS DE INFORMAÇÃO - SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 21. , 2025, Recife/PE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 216-220.
DOI: https://doi.org/10.5753/sbsi_estendido.2025.246835.
