Ethical Challenges of AI Application in Science and Education Balancing Human Creativity and Automation
DOI:
https://doi.org/10.59022/IRSHAD-ujldp.10Keywords:
Artificial Intelligence, Academic Integrity, Human Creativity, Education Law, Ethical Governance, Uzbekistan Legislation, Legal AmendmentAbstract
This study examines ethical challenges arising from artificial intelligence use in science and education. It explores how automation affects human creativity within academic and research settings. The research aims to identify adoption patterns, ethical concerns, and legal gaps shaping this relationship. It asks how current law addresses these emerging challenges effectively. The study uses a qualitative approach, combining doctrinal and document analysis methods. Legal texts came from Uzbekistan’s official portal, while scholarly sources came from peer-reviewed journals. Findings show growing AI adoption alongside mixed views on creativity and academic integrity. Uzbekistan’s Law No. LRU-1115 offers broad AI regulation but lacks education-specific provisions. The study proposes an amendment addressing disclosure, authorship, and institutional accountability directly. Recommendations include teacher training, ethical review committees, and AI literacy programs. These measures support responsible AI adoption while protecting academic integrity and creativity. The findings offer practical guidance for policymakers and educational institutions navigating similar challenges globally.
References
Allah Rakha, N. (2023). Artificial intelligence and sustainability. International Journal of Cyber Law, 1(3). https://doi.org/10.59022/ijcl.42
Allah Rakha, N. (2023). Artificial intelligence strategy of the Uzbekistan: Policy framework, preferences, and challenges. International Journal of Law and Policy, 1(1). https://doi.org/10.59022/ijlp.27
Ateeq, A. (2024). Implications for academic integrity and the shift toward responsible AI in education. Fron-tiers in Education, 9, 1470979. https://doi.org/10.3389/feduc.2024.1470979
Benayoune, A. (2026). Artificial intelligence policy challenges and institutional readiness in higher education. Discover Education, 5(1), 12. https://doi.org/10.1007/s44217-026-01188-4
Carrillo, C., et al. (2025). Charting new territories: Artificial Intelligence in the context of teacher education. European Journal of Teacher Education. https://doi.org/10.1080/02619768.2025.2586365
Çerkini, B., et al. (2025). Artificial intelligence in higher education: Student perceptions and institutional policies. Frontiers in Education, 10, 1700056. https://doi.org/10.3389/feduc.2025.1700056
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148
EmadEldeen, R., et al. (2026). Students' intention to use artificial intelligence in business education. Frontiers in Education, 11, 1893741. https://doi.org/10.3389/feduc.2026.1893741
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
Gouseti, A. (2025). The ethics of using AI in K-12 education: A systematic review. Technology, Pedagogy and Education. https://doi.org/10.1080/1475939X.2024.2428601
Hagendorff, T. (2020). The ethics of AI ethics: An evaluation of guidelines. Minds and Machines, 30(1), 99–120. https://doi.org/10.1007/s11023-020-09517-8
Hallström, J., Mannila, L., Nordlöf, C., Heintz, F., Sperling, K., & Stenliden, L. (2026). AI literacy for K–12 education: An international Delphi study. Interactive Learning Environments. https://doi.org/10.1080/10494820.2026.2649553
Jia, K., et al. (2025). Developing a holistic AI literacy framework for children. Proceedings of the ACM on Hu-man-Computer Interaction. https://doi.org/10.1145/3727986
Jia, N., et al. (2024). When and how artificial intelligence augments employee creativity. Academy of Management Journal, 67(4), 1079–1105. https://doi.org/10.5465/amj.2022.0426
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelli-gence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Lund, B., Mannuru, N. R., Teel, Z. A., Lee, T. H., Ortega, N. J., Simmons, S., & Ward, E. (2025). Student per-ceptions of AI-assisted writing and academic integrity: Ethical concerns, academic misconduct, and use of generative AI in higher education. AI in Education, 1(1), 2. https://doi.org/10.3390/aieduc1010002
Madleňák, R., et al. (2026). A four-pillar student-activity framework for institutional AI policy responses. Education Sciences, 16(4), 555. https://doi.org/10.3390/educsci16040555
Mah, D. K., et al. (2026). Artificial intelligence in K-12 instruction: The role of teacher professional develop-ment. Smart Learning Environments, 13(1), 12. https://doi.org/10.1186/s40561-026-00442-4
Marrone, R., Cropley, D., & Medeiros, K. (2024). How does narrow AI impact human creativity? Creativity Research Journal, 1–11. https://doi.org/10.1080/10400419.2024.2378264
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023). Ethical principles for artificial intelli-gence in education. Educational Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
Nygren, Å., et al. (2026). Exploring student use of generative AI in higher education. Education and Information Technologies. https://doi.org/10.1007/s10639-026-14100-2
Republic of Uzbekistan. (2026). Law No. LRU-1115 of January 21, 2026, On making additions and changes to certain legislative acts of the Republic of Uzbekistan regarding the regulation of artificial intelligence. Lex.uz. https://lex.uz/docs/7159258
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 1–15. https://doi.org/10.37074/jalt.2023.6.1.9
Shakib Kotamjani, S., Shirinova, S., Muratova, K., & Sharma, M. (2024). Exploring students' perspectives on generative AI for academic purposes in Uzbekistan's higher education. Proceedings of the 8th International Conference on Future Networks & Distributed Systems. https://doi.org/10.1145/3726122.3726266
Sharma, R. C. (2025). Addressing academic dishonesty in higher education in the age of AI. Open Praxis, 17(2), 820. https://doi.org/10.55982/openpraxis.17.2.820
Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6634), 313. https://doi.org/10.1126/science.adg7879
Varsik, S., & Vosberg, L. (2024). The potential impact of Artificial Intelligence on equity and inclusion in education. OECD Artificial Intelligence Papers, No. 23. https://doi.org/10.1787/15df715b-en
Wiese, L. J., Patil, I., Schiff, D. S., & Magana, A. J. (2025). AI ethics education: A systematic literature review. Computers and Education: Artificial Intelligence, 8, 100405. https://doi.org/10.1016/j.caeai.2025.100405
Xue, L., Mahat, J., & Ghazali, N. (2026). Technology acceptance model in artificial intelligence in education: A meta-analysis. SAGE Open, 16(1). https://doi.org/10.1177/21582440251409441
Younas, A. (2024). Recent policies, regulations and laws related to artificial intelligence across Central Asia. AI and Ethics. https://doi.org/10.1007/s43681-024-00505-7
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., & Chen, W. (2021). A review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 8812542. https://doi.org/10.1155/2021/8812542
Zhang, C., Shao, Y., Yuan, Y., & Shen, W. (2025). Artificial intelligence reshapes creativity: A multidimensional evaluation. PsyCh Journal, 14(6), 831–840. https://doi.org/10.1002/pchj.70042
Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), pgae052. https://doi.org/10.1093/pnasnexus/pgae052
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Copyright (c) 2026 Said Gulyamov (Author)
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