AI on the Horizon of Interdisciplinary Thinking: from disciplinary knowledge to symbiotic intelligence

نوع مقاله : مقاله علمی- پژوهشی

نویسنده

استاد مدعو گروه علوم تربیتی، دانشگاه تیسینگووا، بیجینگ، چین. گروه مدیریت و برنامه ریزی آموزشی، دانشگاه ایلی نویز، آمریکا.

چکیده

AI is becoming an epistemic infrastructure, a computational environment shaping what can be asked, represented, and imagined. The modern university's disciplinary depth has fragmented inquiry, and today's challenges exceed these divisions; AI is both a product of specialization and a force for reorganizing it. Drawing on Bateson, Hutchins, Clark & Chalmers, Hayles, and symbiotic intelligence, this paper develops a relational ontology for human, AI knowledge production and transdialogism, the movement of meaning across incompatible representational regimes, and examines dialogue and Wittgensteinian language-games as practices for interdisciplinary understanding. It then analyzes AI as cognitive infrastructure, arguing that foundation models create a new architecture of epistemic power requiring public governance and democratic accountability, and proposes knowledge socialism as an alternative to cognitive enclosure. Finally, it distinguishes intelligence from wisdom: AI can synthesize information but cannot determine worthwhile ends. The normative goal is collective artificial wisdom and an Eco-AI civilization integrating human flourishing, ecological sustainability, cultural plurality, democratic participation, open science, and responsible AI governance. Central thesis: AI is becoming the infrastructure of interdisciplinary thought but does not automatically produce understanding. Genuine interdisciplinary intelligence requires interpretation, epistemic plurality, democratic governance, human answerability, and ecological judgement. AI can connect disciplines, but only a critically designed human–AI knowledge ecology can turn connections into shared understanding; only symbiotic institutions can direct extended cognition toward common purposes; and only wisdom can determine whether accelerated intelligence serves democratic freedom, ecological sustainability, and planetary flourishing.

چکیده تصویری

AI on the Horizon of Interdisciplinary Thinking: from disciplinary knowledge to symbiotic intelligence

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

AI on the Horizon of Interdisciplinary Thinking: from disciplinary knowledge to symbiotic intelligence

نویسنده [English]

  • Michael Peters
Visting Distinguised Professor, School of Education, Tsinghua University, Beijing, China. Department of Education Policy, Organization and Leadership, University of Illinois at Urbana-Champaign, Urbana, IL, USA. Philosophy Program, University of Waikato, Hamilton, New Zealand.
چکیده [English]

AI is becoming an epistemic infrastructure, a computational environment shaping what can be asked, represented, and imagined. The modern university's disciplinary depth has fragmented inquiry, and today's challenges exceed these divisions; AI is both a product of specialization and a force for reorganizing it. Drawing on Bateson, Hutchins, Clark & Chalmers, Hayles, and symbiotic intelligence, this paper develops a relational ontology for human, AI knowledge production and transdialogism, the movement of meaning across incompatible representational regimes, and examines dialogue and Wittgensteinian language-games as practices for interdisciplinary understanding. It then analyzes AI as cognitive infrastructure, arguing that foundation models create a new architecture of epistemic power requiring public governance and democratic accountability, and proposes knowledge socialism as an alternative to cognitive enclosure. Finally, it distinguishes intelligence from wisdom: AI can synthesize information but cannot determine worthwhile ends. The normative goal is collective artificial wisdom and an Eco-AI civilization integrating human flourishing, ecological sustainability, cultural plurality, democratic participation, open science, and responsible AI governance. Central thesis: AI is becoming the infrastructure of interdisciplinary thought but does not automatically produce understanding. Genuine interdisciplinary intelligence requires interpretation, epistemic plurality, democratic governance, human answerability, and ecological judgement. AI can connect disciplines, but only a critically designed human–AI knowledge ecology can turn connections into shared understanding; only symbiotic institutions can direct extended cognition toward common purposes; and only wisdom can determine whether accelerated intelligence serves democratic freedom, ecological sustainability, and planetary flourishing.

کلیدواژه‌ها [English]

  • Artificial Intelligence
  • Interdisciplinarity
  • Symbiotic Intelligence
  • Cognitive Intraface
  • Distributed Cognition
  • Knowledge Socialism
  • Posthumanism
  • Eco-AI Civilization
Bakhtin, M. M. (1981). The dialogic imagination: Four essays (M. Holquist, Ed.; C. Emerson & M. Holquist, Trans.). University of Texas Press.
Bakhtin, M. M. (1993). Toward a philosophy of the act (V. Liapunov, Trans.; V. Liapunov & M. Holquist, Eds.). University of Texas Press.
Barad, K. (2007). Meeting the universe halfway: Quantum physics and the entanglement of matter and meaning. Duke University Press.
Bateson, G. (1972). Steps to an ecology of mind. Chandler.
Biesta, G. J. J. (2006). Beyond learning: Democratic education for a human future. Paradigm Publishers.
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Chalmers, D. J. (2010). The singularity: A philosophical analysis. Journal of Consciousness Studies, 17(9–10), 7–65.
Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19. https://doi.org/10.1093/analys/58.1.7
Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
Freire, P. (2000). Pedagogy of the oppressed (M. B. Ramos, Trans.; 30th anniversary ed.). Continuum. (Original work published 1970)
Foucault, M. (1992). The Archaeology of Knowledge and the Discorse of Language, (A. M. Sheridan Smith Trans.) Pantheon Books, New York.
Good, I. J. (1965). Speculations concerning the first ultraintelligent machine. In F. L. Alt & M. Rubinoff (Eds.), Advances in computers (Vol. 6, pp. 31–88). Academic Press. https://doi.org/10.1016/S0065-2458(08)60418-0
Guattari, F. (2000). The three ecologies (I. Pindar & P. Sutton, Trans.). Athlone Press. (Original work published 1989)
Haff, P. (2014). Humans and technology in the Anthropocene: Six rules. The Anthropocene Review, 1(2), 126–136. https://doi.org/10.1177/2053019614530575
Hayles, N. K. (1999). How we became posthuman: Virtual bodies in cybernetics, literature, and informatics. University of Chicago Press.
Hayles, N. K. (2005). My mother was a computer: Digital subjects and literary texts. University of Chicago Press.
Hayles, N. K. (2012). How we think: Digital media and contemporary technogenesis. University of Chicago Press.
Hayles, N. K. (2017). Unthought: The power of the cognitive nonconscious. University of Chicago Press.
Hayles, N. K. (2022). Ethics for cognitive assemblages: Who's in charge here? In S. Herbrechter, I. Callus, M. Rossini, M. Grech, M. de Bruin-Molé, & C. J. Müller (Eds.), Palgrave handbook of critical posthumanism (pp. 1195–1223). Palgrave Macmillan.
Hayles, N. K. (2025a). Bacteria to AI: Human futures with our nonhuman symbionts. University of Chicago Press. https://doi.org/10.7208/chicago/9780226837468.001.0001
Hayles, N. K. (2025b). Modes of cognition: Implications for large language models. Antikythera Journal, 2025. https://modesofcognition.antikythera.org/
Hutchins, E. (1995). Cognition in the wild. MIT Press.
Licklider, J. C. R. (1960). Man-computer symbiosis. IRE Transactions on Human Factors in Electronics, HFE-1, 4–11. https://doi.org/10.1109/THFE2.1960.4503259
Matson, J. O. (2025a). Beyond augmentation: Toward a posthumanist epistemology for AI and education. Intralation: Culture, Theory, Pedagogy. https://intralation-culture-theory-posthuman-pedagogy.ghost.io/beyond-augmentation-toward-a-posthumanist-epistemology-for-ai-and-education/
Matson, J. O. (2025b). The cognitive turn: Locating cognitive difference in the age of AI. Intralation: Culture, Theory, Pedagogy. https://intralation-culture-theory-posthuman-pedagogy.ghost.io/the-cognitive-turn-locating-cognitive-difference-in-the-age-of-ai/
Matson, J. O. (2025c). Toward an epistemic AI literacy. PESA Agora. https://pesaagora.com/columns/toward-an-epistemic-ai-literacy/
Matson, J. O. (2026a,). AI-human dialogue as cognitive assemblage. Stultifera Navis. https://www.stultiferanavis.it/la-rivista/ai-human-dialogue-as-cognitive-assemblage
Matson, J. O. (2026b,). LLMs and the mechanics of prorecursion, refined [LinkedIn post]. LinkedIn. https://www.linkedin.com/posts/drjohnowenmatson_llms-and-the-mechanics-of-prorecursion-refined-activity-7484144322901102592-to0v
Moore, J. W. (2015). Capitalism in the web of life: Ecology and the accumulation of capital. Verso.
Peters, M. A. (1999). After the disciplines? The emergence of cultural studies. Bergin & Garvey.
Peters, M. A. (2001). Wittgensteinian pedagogics: Cavell on the figure of the child in the Investigations. Studies in Philosophy and Education, 20(2), 125–138. https://doi.org/10.1023/A:1010379326178
Peters, M. A. (2024). The biodigital ecosystem of wisdom and the alignment of human values. Psychosociological Issues in Human Resource Management, 12(1), 7–22. https://doi.org/10.22381/pihrm12120241
Peters, M. A., Besley, T., Jandrić, P., & Zhu, X. (Eds.). (2020). Knowledge socialism: The rise of peer production—Collegiality, collaboration, and collective intelligence. Springer. https://doi.org/10.1007/978-981-13-8126-3
Peters, M. A., & Green, B. J. (2024). Wisdom in the age of AI education. Postdigital Science and Education, 6(4), 1173–1195. https://doi.org/10.1007/s42438-024-00460-w
Peters, M. A., Jandrić, P., & Green, B. J. (2024). The DIKW model in the age of artificial intelligence. Postdigital Science and Education, 6(4), 1150–1159. https://doi.org/10.1007/s42438-024-00462-8
Peters, M. A., & Kourkoulou, D. (2025). AI, pedagogy, and the conditions of knowledge. Postdigital Science and Education, 7(4), 1478–1493. https://doi.org/10.1007/s42438-025-00599-0
Peters, M. A., & Marshall, J. D. (1999). Wittgenstein: Philosophy, postmodernism, pedagogy. Bergin & Garvey.
Wittgenstein, L. (2009). Philosophical investigations (P. M. S. Hacker & J. Schulte, Eds.; G. E. M. Anscombe, P. M. S. Hacker, & J. Schulte, Trans.; 4th ed.). Wiley-Blackwell.
CAPTCHA Image