The concept of the extended mind and artificial intelligence: the problem of human creativity
DOI: https://doi.org/10.3846/cs.2026.18337Abstract
The concept of the extended mind was developed by Andy Clark and David Chalmers in the 1990s. Scholars have repeatedly interpreted this concept and elaborated on its various aspects. This article addresses technological aspects of the extension by focusing attention on the complementary action (called augmentation) of artificial intelligence on the human mind and its consequences. While some of them result from the possibility of expanding human cognition, others concern agency, including moral agency. Extension in this context means restoration of the abilities that the human being has lost or equipping man with new competences. Developed within the philosophy of the human mind, the concept of the extended mind can be applied to reflections within the philosophy of technology, especially as our understanding of the correlation between man and the tools he uses is becoming clearer. Artificial intelligence is an artifact that expands and complements human thinking and acting in the context of collecting and organizing information. Importantly, artificial intelligence can significantly complement human creativity in the operational and combination dimension; moreover, it can suggest new and unconventional solutions. Artificial intelligence should be treated as a human creation, operating on the basis of the observed model of human skills and tasks formulated by the programmer or designer. We should also characterize the threats to the risks associated with artificial intelligence development and analyze the possibility of creating ethical use of artificial intelligence-equipped artifacts, including ChatGPT.
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artificial intelligence, ChatGPT, creativity, extented mind, new competenciesHow to Cite
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References
Anderson, Ch. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired. https://www.wired.com/2008/06/pb-theory/
Anderson, J., & Rainie, L. (2023). The future of human agency. Pew Research Center. https://www.pewresearch.org/internet/2023/02/24/the-future-of-human-agency/
Bostrom, N. (2014). The transhumanist FAQ: A general introduction. In C. Mercer & D. F. Maher (Eds.), Palgrave studies in the future of humanity and its successors. Transhumanism and the body: The world religions speak (pp. 1–17). Springer Nature. https://doi.org/10.1057/9781137342768_1
Bremer, J. (2008). Osoba – fikcja czy rzeczywistość? Tożsamość i jedność ja w świetle badań neurologicznych [The Person – fiction or reality? Identity and self-union in the light of neurological research]. Wydawnictwo Aureus.
Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19. https://doi.org/10.1093/analys/58.1.7
Dusek, V. (2006). Philosophy of technology: An introduction. Blackwell Publishing.
Feenberg, A. (2002). Transforming technology: Critical theory revisited. Oxford University Press. https://doi.org/10.1093/oso/9780195146158.001.0001
Fry, H. (2018). Hello world: How to be human in the age of the machine. Doubleday.
Gazzaniga, M. S. (2008). Human: The science behind what makes your brain unique. An Ecco Book/Harper Perennial.
Jo, J., & Bengio, Y. (2017). Measuring the tendency of CNNs to learn surface statistical regularities. arXiv. https://arxiv.org/pdf/1711.11561
Kiepas, A. (2000). Człowiek wobec dylematów filozofii techniki [Man and the dilemmas of the philosophy of technology]. Wydawnictwo Gnome.
Kleppmann, M. (2017). Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. O’Reilly.
Krügel, S., Ostermaier, A., & Uhl, M. (2023). ChatGPT’s inconsistent moral advice influences users’ judgment. Scientific Reports, 13. https://doi.org/10.1038/s41598-023-31341-0
Kurzweil, R. (2005). The singularity is near: When humans transcend biology. Viking.
Lamri, J. (2021). Kompetencje XXI wieku. Kreatywność, komunikacja, krytyczne myślenie, kooperacja [21st Century competencies: Creativity, communication, critical thinking, and collaboration]. Wolters Kluwer.
Larson, E. J. (2021). The myth of artificial intelligence: Why computers can’t think the way we do. The Belknap Press of Harvard University Press. https://doi.org/10.4159/9780674259935
Maas, van der H. L. J., Snoek, L., & Stevenson, C. E. (2021). How much intelligence is there in artificial intelligence? A 2020 update. Intelligence, 87. https://doi.org/10.1016/j.intell.2021.101548
Menary, R. (2007). New directions in philosophy and cognitive science. Cognitive integration: Mind and cognition unbounded. Palgrave Macmillan.
Mitcham, C. (2022). What is living and what is dead in classic European philosophy of technology? In Sh. Vallor (Ed.), The Oxford handbook of philosophy of technology (pp. 19–34). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190851187.013.3
Muszyński, Z. (2015). Umysł rozszerzony, poznanie rozszerzone, „nauka rozszerzona” [Extended mind, extended cognition, “extended learning”]. Filozofia i nauka. Studia filozoficzne i interdyscyplinarne, 3, 265–280.
Neubauer, A. C. (2021). The future of intelligence research in the coming age of artificial intelligence – with a special consideration of the philosophical movements of trans- and posthumanism. Intelligence, 87. https://doi.org/10.1016/j.intell.2021.101563
Nosarzewska, E. (2021). 2030. Czy sztuczna inteligencja może być etyczna? [2030. Can artificial intelligence be ethical?] Raport Pew Reserch Center. ptsp.pl: Polskie Towarzystwo Studiów nad Przyszłością. https://ptsp.pl/sztuczna-inteligencja-etyka/?gclid=Cj0KCQjwla-hBhD7ARIsAM9tQKtM%20nxZL79I98nqbTBkyE5xsylScKRVzFUzySMq6-KHPDpfCaotQl8aAi0XEALw_wcB
OpenAI. (2015–2023). ChatGPT: Optimizing language models for dialogue. https://openai.com/blog/chatgpt/
OpenAI. (2021). OpenAI Codex. https://openai.com/index/openai-codex/
Przegalińska, A., & Oksanowicz, P. (2023). Sztuczna inteligencja: nieludzka, arcyludzka. Fenomen świata nowych technologii [Artificial intelligence: Inhuman, arch-human. A phenomenon of new technologies]. Wydawnictwo Znak.
Ropohl, G. (2010). Technikbegriffe zwischen Äquivokation und Reflexion [Technical concepts between equivocation and reflection]. In G. Banse & A. Grunwald (Hrsg.), Technik und Kultur: Bedingungs- und Beeinflussungsverhältnisse (Band 1, pp. 41–54). Karlsruher Institut für Technologie Scientific Publishing.
Sautoy, du M. (2019). The creativity code: How AI is learning to write, paint and think. Fourth Estate.
Schneider, S. (2019). Artificial you: AI and the future of your mind. Princeton University Press. https://doi.org/10.1515/9780691197777
Schwartz, J. M., & Begley, Sh. (2002). The mind and the brain: Neoroplasticity and the power of mental force. Regan Books.
Sovhyra, T. (2021). Robotic theatre: Comparative analysis of human and mechanized activities in the creative process. Creativity Studies, 14(2), 295–306. https://doi.org/10.3846/cs.2021.13545
Suchacka, M., Muster, R., & Wojewoda, M. (2021). Human and machine creativity: Social and ethical aspects of the development of artificial intelligence. Creativity Studies, 14(2), 430–443. https://doi.org/10.3846/cs.2021.14316
Wieczorek, K. (2021). The conscience of a machine? Artificial intelligence and the problem of moral responsibility. Er(r)go: Teoria – Literatura – Kultura, 42(1), 15–34. https://doi.org/10.31261/errgo.10418
Zuboff, Sh. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Public Affairs.
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