Communication and thought. Social systems, generative artificial intelligence, and humans in education.

Authors

DOI:

https://doi.org/10.32870/in.vi31.7331

Keywords:

Communication, Sytems theory, Generative Artificial Intelligence, Higher education, Structural coupling

Abstract

This essay articulates a theoretical and empirical reflection on the centrality of communication in the analysis of political and educational systems, focusing on the link between David Easton's theory of political systems and Niklas Luhmann's theory of social systems. Considering the increasing integration of Generative Artificial Intelligence (GAI) into university teaching, it proposes a reconceptualization of academic practices that addresses the relationship between thought, human communication, systemic operations, and the technical capabilities of GAI. The text develops: (1) Easton's critique of institutionalism and its narrow focus on actors, (2) Luhmann's reformulation that shifts attention to autopoietic communication, (3) the intersection between political and educational systems viewed as structural coupling, and (4) a detailed analysis of how GAI intervenes at the normative-formal, organizational-procedural, and symbolic-cultural levels of the university. Using contemporary evidence and debates (2020–2025) on IAG and education, the essay concludes by showing the differences between the forms of communication of university processes.

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References

Billi, M. (2025). Is AI a functional equivalent to expertise in organizations? Drawing on social systems theory. Frontiers in AI, 8, Article 115. https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1571698/full

Dong-hyu Kim (2025), Exploring Generative AI-User Interactions through Self-Programming and Structural Coupling in Luhmann’s Systems Theory. Manag. Rev. 2025; 36(1): 39414 https://doi.org/10.31083/MRev39414

Easton, D. (1953). The political system: An inquiry into the state of political science. Alfred A. Knopf.

Easton, D. (1957). An approach to the analysis of political systems. World Politics, 9(3), 383–400. http://www.jstor.org/stable/2008920

Easton, D. (1965). A systems analysis of political life. Wiley.

Easton, D. (2012/1968). Esquema para el análisis político. Amorrortu

Easton, D. (1981). The political system besieged by the state. Political Theory, 9(3), 303–325. https://doi.org/10.1177/009059178100900304

Easton, D. (1990). The analysis of political structure. Routledge.

Luhmann, N. (1998/1984). Sistemas sociales: Lineamientos para una teoría general. (J. Torres Nafarrate, Trad.). Anthropos Editorial / Universidad Iberoamericana

Luhmann, N. (2007/1997). La sociedad de la sociedad (J. Torres Nafarrate, trad.). Herder.

Luhmann, N. (2012). Introducción a la teoría de sistemas (J. D. Gómez, Trad.). Herder.

Luhmann, N. (2012). Sistema social (2.ª ed., J. Torres Nafarrate, Trad.). Anthropos.

Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417–457. https://doi.org/10.1017/S0140525X00005756

Searle, J. R. (1992). The rediscovery of the mind. MIT Press.

Nagel, T. (1974). What is it like to be a bat? The Philosophical Review, 83(4), 435–450. https://doi.org/10.2307/2183914

Dreyfus, H. L. (1992). What computers still can't do: A critique of artificial reason. MIT Press.

Felin, T., & Holweg, M. (2024). Theory Is All You Need: AI, human cognition, and causal reasoning. Social Studies of Science, 54(2), 245–270. https://doi.org/10.1287/stsc.2024.0189

Habermas, J. (1987). Teoría de la acción comunicativa. Taurus.

Keenan, B., & Sokol, K. (2023). Mind the gap! Bridging explainable artificial intelligence and human understanding with Luhmann's functional theory of communication. arXiv. https://arxiv.org/abs/2302.03460

Simões, G., Radosavljevic, M., & Johnston, J. (2022). The impact of artificial intelligence in society through the lens of Luhmann’s social systems theory: A systematic review. AI & Society, 37(3), 901–918.

UNESCO. (2021). Ethics of artificial intelligence in education. UNESCO Digital Library.

UNESCO. (2023). Recommendation on the Ethics of Artificial Intelligence. UNESCO.

U.S. Department of Education. (2022). Artificial Intelligence and the Future of Teaching and Learning. https://www.ed.gov

Vygotsky, L.S., (2006) Pensamiento y lenguaje. Paidós.

Wang, S., et al. (2024). Artificial intelligence in education: A systematic literature review. Computers & Education, 200, 104123. https://www.researchgate.net/publication/384505531_Artificial_intelligence_in_education_A_systematic_literature_review

Published

2026-06-01

How to Cite

Ramírez Díaz, J. A. (2026). Communication and thought. Social systems, generative artificial intelligence, and humans in education. InterNaciones, 1(31), 193–215. https://doi.org/10.32870/in.vi31.7331