COGNITIVE ASPECTS OF CROSS-CULTURAL RESEARCH: THE ROLE OF ARTIFICIAL INTELLIGENCE IN HUMAN PROFESSIONAL ACTIVITY
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Published:
Mar 2, 2026
Abstract
The article is devoted to the analysis of cognitive aspects of the use of artificial intelligence (AI) in education, medicine, and the military domain. Based on an analysis of 22 scientific publications by American, Polish, and Ukrainian researchers (2022–2026), key cognitive risks have been identified, including the phenomenon of overreliance on automated systems (automation bias), the loss of critical thinking skills, and the problem of algorithmic opacity («black box»). Particular attention is paid to country-specific aspects, including the concept of moral injury in U.S. military medicine, the integration of European regulatory requirements and the phenomenon of «zanikanie krytycznego myślenia» in Poland, as well as the adaptation of AI to conditions of martial law, the development of the «method from the opposite», and cognitive offloading systems in Ukraine. The concept of the «cultural cognition gap» is proposed to explain differences in the perception and implementation of AI across national contexts. The need for further harmonization of research approaches among countries, taking into account their unique experience, is substantiated. The results of the study may be used for the development of national AI implementation strategies that consider cognitive risks and cross-cultural differences.
How to Cite
Derevianko, S. (2026). COGNITIVE ASPECTS OF CROSS-CULTURAL RESEARCH: THE ROLE OF ARTIFICIAL INTELLIGENCE IN HUMAN PROFESSIONAL ACTIVITY. Academia Polonica, 75(2), 19-24. https://doi.org/10.23856/7502
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Keywords
artificial intelligence, cognitive aspects, critical thinking, black box, cultural cognition gap
References
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2. Cherevatiuk, V. (2024). Vykorystannia instrumentiv shtuchnoho intelektu u mystetskii osviti: problemy ta mozhlyvosti [The use of artificial intelligence tools in art education: problems and opportunities]. Visnyk Natsionalnoi akademii obrazotvorchoho mystetstva i arkhitektury, (1), 89-94. https://doi.org/10.32782/naoma-bulletin-2024-1-13 [in Ukrainian]
3. Iliichuk, L. (2024). Shtuchnyi intelekt i yakist osvity: mozhlyvosti, vyklyky ta zahrozy [Artificial intelligence and quality of education: opportunities, challenges, and threats]. Naukovo-pedahohichni studii, (8), 232-248. https://doi.org/10.32405/2663-5739-2028-8-232-248 [in Ukrainian]
4. Janumpally, R., Nanua, S., Ngo, A., & Youens, K. (2025). Generative artificial intelligence in graduate medical education [Generative artificial intelligence in graduate medical education]. Frontiers in Medicine, 11, 1525604. https://doi.org/10.3389/fmed.2024.1525604
5. Kowalczyk, L. (2023). Mozliwosci wykorzystania sztucznej inteligencji w dzialalnosci dydaktycznej i naukowej [Possibilities of using artificial intelligence in didactic and scientific activities]. Prace naukowe WSZIP, 53(1). [in Polish]
6. Krajcer, Z. (2022). Artificial intelligence for education, proctoring, and credentialing in cardiovascular medicine [Artificial intelligence for education, proctoring, and credentialing in cardiovascular medicine]. Texas Heart Institute Journal, 49(2), 1-9. https://doi.org/10.14503/THIJ-21-7572
7. Kumar, S., Gunn, A., Rose, R., Pollard, R., Johnson, M., & Ritzhaupt, A. D. (2024). The role of instructional designers in the integration of generative artificial intelligence in online and blended learning in higher education [The role of instructional designers in the integration of generative artificial intelligence in online and blended learning in higher education]. Online Learning, 28(3), 207-231. https://doi.org/10.24059/olj.v28i3.4501
8. Lei, F. (2024). The application of artificial intelligence in lung cancer research [The application of artificial intelligence in lung cancer research]. Cancer Control, 31, 1-4.
https://doi.org/10.1177/10732748241297373
9. Leone, R. M., Chambers, J. A., Donham, B. P., & Junker, C. A. (2024). Artificial intelligence in military medicine [Artificial intelligence in military medicine]. Military Medicine,
189(9-10), 244-248.
10. Moiseienko, M., Kuzyshyn, M., Turovska, L., Mazurenko, Yu., Petryshyn, M., & Mazurenko, O. (2024). Velyki movni modeli shtuchnoho intelektu v medytsyni [Large language models of artificial intelligence in medicine]. Suchasni informatsiini tekhnolohii ta innovatsiini metodyky navchannia v pidhotovtsi fakhivtsiv: metodolohiia, teoriia, dosvid, problemy, 72, 73-88. https://doi.org/10.31652/2412-1142-2024-72-73-88 [in Ukrainian]
11. Nikolaieva, S. Yu., Diachkova, Ya. O., & Borysenko, O. A. (2026). Suchasnyi pohliad na vykorystannia ShI u navchanni inozemnykh mov i kultur [A modern view on the use of AI in teaching foreign languages and cultures]. Pedahohichna Akademiia: naukovi zapysky, (27) https://doi.org/10.5281/zenodo.18750735 [in Ukrainian]
12. Ozarchuk, A. (2024). Vykorystannia shtuchnoho intelektu u navchanni zdobuvachiv osvity z osoblyvymy osvitnimy potrebamy [The use of artificial intelligence in teaching students with special educational needs]. Nova pedahohichna dumka, 3(119), 38-43. https://doi.org/10.37026/2520-6427-2024-119-3-38-43 [in Ukrainian]
13. Patrzyk, S., & Wozniacka, A. (2022). Sztuczna inteligencja w medycynie [Artificial intelligence in medicine]. UMedical Reports, 6/2022, 30. [in Polish]
14. Prus, A. (2024). Uwarunkowania wykorzystania sztucznej inteligencji w przyszlej wojnie [Conditions of the use of artificial intelligence in future war]. Cybersecurity and Law, 11(2), 48-66. [in Polish]
15. Shostakovych-Koretska, L. R. (2025). Zastosuvannia shtuchnoho intelektu v klinichnii medytsyni, naukovykh doslidzhenniakh ta osviti v umovakh voiennoho stanu [Application of artificial intelligence in clinical medicine, scientific research and education under martial law]. Infektsiini khvoroby, 2(120). https://doi.org/10.11603/1681-2727.2025.2.15302 [in Ukrainian]
16. Svinitskyi, A. V., Klymova, V. V., Sendetskyi, S. S. (2024). Vykorystannia shtuchnoho intelektu v medytsyni, khirurhii, stomatolohii, onkolohii [Use of artificial intelligence in medicine, surgery, dentistry, oncology]. Klinichna onkolohiia, 14(3(55)), 1-4. https://doi.org/10.32471/clinicaloncology. 2663-466X.56-4.33692 [in Ukrainian]
17. Tran, M., Balasooriya, C., Jonnagaddala, J., Leung, G. K.-K., Mahboobani, N., Ramani, S., Rhee, J., Schuwirth, L., Sedaghat Najafzadeh-Tabrizi, N., Semmler, C., & Wong, Z. S. Y. (2025). Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education [Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education]. Digital Medicine, 8, 315. https://doi.org/10.1038/s41746-025-01721-z
18. Trofymenko, O., Lohinova, N., Sokolov, A., Chykunov, P., & Akhmametieva, H. (2024). Shtuchnyi intelekt u viiskovii sferi [Artificial intelligence in the military sphere]. Kiberbezpeka: osvita, nauka, tekhnika, 1(25), 161–176. https://doi.org/10.28925/2663-4023.2024.25.161176 [in Ukrainian]
19. Trofymenko, O. H., Sokolov, A. V., Chykunov, P. O., Akhmametieva, H. V., & Manakov, S. Yu. (2024). Shtuchnyi intelekt u viiskovii kibersferi [Artificial intelligence in the military cyber domain]. Tekhnolohii ta inzhynirynh, 4(21), 85–92. https://doi.org/10.30857/2786-5371.2024.4.8 [in Ukrainian]
20. Wieckiewicz-Modrzewska, J. (2024). Sztuczna inteligencja w edukacji – szanse i zagrozenia [Artificial intelligence in education – opportunities and threats]. Szkola Specjalna, 85(2), 128-136. https://doi.org/10.5604/01.3001.0054.7035 [in Polish]
21. Zabara, I. M., Derkach, O. O. (2024). Tekhnolohii viiskovoho shtuchnoho intelektu: suchasni mizhnarodno-pravovi napriamky naukovykh doslidzhen [Technologies of military artificial intelligence: modern international legal research directions]. Naukovyi visnyk Uzhhorodskoho natsionalnoho universytetu, 86, 241–245. https://doi.org/10.24144/2307-3322.20 24.86.5.36 [in Ukrainian]
22. Zdrojewski, K. (2026). Sztuczna inteligencja w operacjach wojskowych – potencjal i ryzyka dla bezpieczenstwa narodowego [Artificial intelligence in military operations – potential and risks for national security]. Wiedza Obronna, 295(1). https://doi.org/10.34752/wze7ns52 [in Polish]