Alves, P., & Pereira Cipriano, B. (2023). The centaur programmer. How Kasparov's Advanced Chess spans over to the software development of the future. ArXiv. https://doi.org/10.48550/arXiv.2304.11172
Anthony, C. (2021). When knowledge work and analytical technologies collide: The practices and consequences of black boxing algorithmic technologies. Administrative Science Quarterly, 66(4), 1173–1212. https://www.jstor.org/stable/pdf/48648412.pdf
Arellano Toledo, M. (2025). Inteligencia artificial y ciencia política. En F. Reveles Vázquez (Comp.), Temas nuevos y desafíos conceptuales de la ciencia política (pp. 127–150). Teseo.
Barrios Tao, H., Díaz Pérez, V., & Guerra, Y. (2020). Subjetividades e inteligencia artificial: Desafíos para “lo humano”. Veritas, (47), 81–107. https://www.scielo.cl/pdf/veritas/n47/0718-9273-veritas-47-81.pdf
Blair, A., Butcher, C., Bhasin, T., Gordon, E., Hallward, M. C., McCartney, A. R. M., & Usherwood, S. (2025). Artificial intelligence challenges and opportunities. Journal of Political Science Education, 21(2), 187–191. https://doi.org/10.1080/15512169.2025.2481586.
Calvo, E., Elverdín, A. S., Kessler, G., & Murillo, M. V. (2019). Investigando las influencias internacionales en las ciencias sociales argentinas. Revista Latinoamericana de Metodología de las Ciencias Sociales, 9(2), e055. https://www.relmecs.fahce.unlp.edu.ar/article/view/Relmecse055
Cameron, L. D. (2022). “Making out” while driving: Relational and efficiency games in the gig economy. Organization Science, 33(1), 231–252. https://faculty.wharton.upenn.edu/wp-content/uploads/2016/11/Making-out-While-Driving.pdf
Cameron, L. D., & Rahman, H. (2022). Expanding the locus of resistance: Understanding the co-constitution of control and resistance in the gig economy. Organization Science, 33(1), 38–58. https://doi.org/10.1287/orsc.2021.1557
Carrillo Cruz, C. E., Herrera Barragán, V. A., & Cortés Serrato, J. N. (2023). Inteligencia artificial para la escritura académica en investigación. Ciencia Latina Revista Científica Multidisciplinar, 7(4), 4604–4620. https://doi.org/10.37811/cl_rcm.v7i4.7304
Christin, A. (2017). Algorithms in practice: Comparing web journalism and criminal justice. Big Data & Society, 4(2), 1–14. https://journals.sagepub.com/doi/10.1177/2053951717718855
Committee on Publication Ethics (COPE) (2024). Authorship and AI tools. Committee on Publication Ethics.
Dell'Acqua, F., McFowland III, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., et al. (2023). Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality. Harvard business school technology & operations mgt. Unit working paper, (24-013). https://doi.org/10.1287/orsc.2025.21838
Draxler, F., Werner, A., Lehmann, F., Hoppe, M., Schmidt, A., Buschek, D., & Welsch, R. (2024). The AI ghostwriter effect: When users do not perceive ownership of AI-generated text but self-declare as authors. ACM Transactions on Computer-Human Interaction, 31(2), 1–40. https://doi.org/10.1145/3637875
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Gayol, D. S. (2025). La inteligencia artificial: Conceptos contextualizadores como recurso de la educación. En D. S. Gayol (Ed.), El rol de la inteligencia artificial en la educación: Redefiniendo los procesos enseñanza-aprendizaje (pp. 13–30). Editorial Biblos.
Hannon, M., & de Ridder, J. (Eds.). (2021). The Routledge handbook of political epistemology. Routledge.
Hannon, M., & Woodard, E. (2025). Political epistemology: An introduction. Routledge.
Hassoulas, A., Powell, N., Roberts, L., & Umla-Runge, K. (2023). Investigating marker accuracy in differentiating between student scripts and those produced using ChatGPT. Journal of Applied Learning & Teaching, 6(2), 71-77. https://doi.org/10.37074/jalt.2023.6.2.13
Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2024). Using AI to write scholarly publications. Accountability in Research, 31(7), 715-723. https://doi.org/10.1080/08989621.2023.2168535
International Committee of Medical Journal Editors (ICMJE) (2023). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals. International Committee of Medical Journal Editors.
Ivanič, R. (1998). Writing and identity: The discoursal construction of identity in academic writing. John Benjamins.
Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022). To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization Science, 33(1), 126–148. https://doi.org/10.1287/orsc.2021.1549
Martínez-Olmo, F., & González Catalán, F. (2024). Revisión sistemática de tendencias en la aplicación de la inteligencia artificial al ámbito de la escritura académica en las ciencias sociales. Digital Education Review, (45), 37–42. https://doi.org/10.1344/der.2024.45.37-42
Mazmanian, M., Orlikowski, W. J., & Yates, J. (2013). The autonomy paradox: The implications of mobile email devices for knowledge professionals. Organization Science, 24(5), 1337–1357. https://www.jstor.org/stable/pdf/42002909.pdf
Mollick, E. (2024). Co-intelligence: Living and working with AI. WH Allen.
Mollick, E. R., & Mollick, L. (2023). Assigning AI: Seven approaches for students, with prompts (arXiv:2306.10052). arXiv. https://doi.org/10.48550/arXiv.2306.10052
Pachidi, S., Berends, H., Faraj, S., & Huysman, M. (2021). Make way for the algorithms: Symbolic actions and change in a regime of knowing. Organization Science, 32(1), 18–41. https://doi.org/10.1287/orsc.2020.1377
Piovani, J. I. (2018). Estilos de producción en el campo de las ciencias sociales en Argentina. CIC. Cuadernos de Información y Comunicación, 23, 125–141. https://www.memoria.fahce.unlp.edu.ar/art_revistas/pr.13710/pr.13710.pdf
Platón (2003). Teeteto. Biblioteca Nueva.
Rahman, H. A. (2021). The invisible cage: Workers’ reactivity to opaque algorithmic evaluations. Administrative Science Quarterly, 66(4), 945–988. https://www.jstor.org/stable/pdf/48648407.pdf
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://journals.aom.org/doi/10.5465/amr.2018.0072
Randazzo, S., Lifshitz-Assaf, H., Kellogg, K., Dell’Acqua, F., Mollick, E. R., Candelon, F., & Lakhani, K. R. (2025). Cyborgs, centaurs and self-automators: The three modes of human–GenAI knowledge work and their implications for skilling and the future of expertise (Working Paper No. 26-036). Harvard Business School. https://www.hbs.edu/ris/Publication%20Files/26-036_e7d0e59a-904c-49f1-b610-56eb2bdfe6f9.pdf
Ricoeur, P. (1996). Sí mismo como otro. Siglo XXI Editores.
Rinaldi, S. M. (2024a). El análisis de artículos falsos como estrategia para la alfabetización académica en ciencias políticas y relaciones internacionales. Didáctica y Educación, 15(4), 152–173. https://dialnet.unirioja.es/servlet/articulo?codigo=9856689
Rinaldi, S. M. (2024b). La escritura académica en la enseñanza de la ciencia política: Una revisión del caso argentino. Res Non Verba, 14(1), 85–99. https://doi.org/10.21855/resnonverba.v14i1.878
Rovetto, F., Zanuccoli, M., Taruselli, M. V., Pinillos, C., & Perbellini, M. (2014). La producción de textos académicos en el nivel de grado: Estrategias y resultados de la experiencia de la alfabetización académica en la carrera de Ciencia Política. En F. Rovetto, M. Zanuccoli, M. V. Taruselli, C. Pinillos, & M. Perbellini (Comps.), Promoción de la alfabetización académica en la carrera de Ciencia Política: Estrategias y resultados (pp. 4–12). UNER.
Salatino, M., & Gallardo, O. (2020). Cartografías de la ciencia política argentina: Un análisis de sus espacios de producción/circulación. Civilizar: Ciencias Sociales y Humanas, 20(39), 99–114. https://doi.org/10.22518/jour.ccsh/2020.2a06
Sartori, G. (1970). Concept misformation in comparative politics. American Political Science Review, 64(4), 1033–1053. https://doi.org/10.2307/1958356
Sartori, G. (2010). La política: Lógica y método de las ciencias sociales. Fondo de Cultura Económica.
Valentine, M., & Hinds, R. (2022). How algorithms change occupational expertise by prompting explicit articulation and testing of experts’ theories. SSRN 4246167. https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=4246167
Van den Broek, E., Sergeeva, A., & Huysman, M. (2021). When the machine meets the expert: An ethnography of developing AI for hiring. MIS Quarterly, 45(3), 1557–1580. https://doi.org/10.25300/MISQ/2021/16559
Waardenburg, L., Huysman, M., & Sergeeva, A. V. (2022). In the land of the blind, the one-eyed man is king: Knowledge brokerage in the age of learning algorithms. Organization Science, 33(1), 59-82. https://doi.org/10.1287/orsc.2021.1544
Wahlke, J. C. (1991). Liberal learning and the political science major: A report to the profession. Political Science & Politics, 24(1), 48–60. https://doi.org/10.2307/419376
Wu, N., & Wu, P. Y. (2024). Surveying the impact of generative artificial intelligence on political science education. Political Science & Politics, 57(4), 602–609. https://doi.org/10.1017/S1049096524000167