Inteligencia artificial crítica en la ciencia contemporánea

Capítulo 1

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Instituto Nacional del Derecho de Autor (INDAUTOR). (2025, agosto 28). La Suprema Corte de Justicia de la Nación resolvió que las obras creadas por inteligencia artificial no pueden registrarse como derechos de autor en México. Gobierno de México. https://www.gob.mx/cultura/prensa/indautor-reconoce-la-decision-de-la-suprema-corte-de-justicia-de-la-nacion-sobre- el registro-de-obras-creadas-con-ia?idiom=es

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Penabad-Camacho, L., Penabad-Camacho, M. A., Mora-Campos, A., Cerdas-Vega, G., Morales-López, Y., Ullate-Segura, M.,Méndez-Solano, A., Nova-Bustos, N., Vega-Solano, M. F. & Castro-Solano, M. M. (2024). Declaración de Heredia: Principios sobre el uso de inteligencia artificial en la edición científica [Declaration of Heredia: Principles on the use of artificial intelligence in scientific publishing]. Revista Electrónica Educare, 28(Suplem. Especial), 1–10. https://doi.org/10.15359/ree.28-S.19967

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uspto. (2024, April 10). uspto warns patent lawyers not to pass off ai inventions as human. Reuters. https://www.reuters.com/legal/litigation/uspto-warns- patent-lawyers-not-pass-off-ai-inventions-human-2024-04-10/

uspto. (2025, January 14). uspto announces new Artificial Intelligence Strategy uspto. https://www.uspto.gov/about-us/news-updates/uspto-announces- new-artificial-intelligence-strategy-empower-responsible

wipo. (2024). Artificial intelligence and intellectual property policy. World Intellectual Property Organization. https://www.wipo.int/publications/en/ details.jsp?id=4644

CAPÍTULO 2

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Etesse, M. (2024). Introducción al análisis de datos cualitativos con inteligencia artificial. Pontificia Universidad Católica del Perú. Introducción al análisis de datos cualitativos.pdf

Gibbs, G. R., Friese, S. & Mangabeira, W. C. (2023). Exploring the use of artificial intelligence for qualitative data analysis. International Journal of Qualitative Methods. Advance online publication. https://doi. org/10.1177/16094069231211248

Gilardi, F., Alizadeh, M. & Kubli, M. (2023). ChatGPT outperforms crowd workers for text-annotation tasks. Proceedings of the National Academy of Sciences of the United States of America, 120(30), e2305016120. https:// doi.org/10.1073/pnas.2305016120

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CAPÍTULO 3

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CAPÍTULO 4

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