Legality of Employing Artificial Intelligence for Writing Academic Papers in Education

Main Article Content

Konstantinos T. Kotsis

Abstract

Including artificial intelligence (AI) in academic writing has spurred a critical review of its ethical and legal ramifications in learning environments. As companies embrace AI tools like ChatGPT, questions about authorship, intellectual property, and academic integrity have become central concerns that need careful examination, as institutions do. This paper explores the changing definition of AI and its ability to execute tasks usually connected with human intelligence, generating serious ques-tions about originality and ethical standards in academic work. The conversation emphasizes the need for educational institutions to create explicit structures that handle the complexity of AI-assisted writing preserving academic integrity and encouraging creative ideas. Underlined in the paper are ethical conundrums created by AI-generated content, especially concerning openness, accuracy, and bias potential. It questions who owns AI-generated works and how conventional ideas of creative agency must be reassessed because of these developments, so challenging the muddy waters of authorship and intellectual property rights. Beyond only legal concerns, the implications of AI’s presence in academic writing force a review of pedagogical approaches and the possible effects on critical thinking and independent research skills among students. In the end, this work supports a sensible strategy that welcomes AI’s transforming power while protecting the fundamental values of academic integrity and rigor. It asks teachers, lawyers, and legislators to work together to negotiate AI’s complex legal terrain in academia so that the educational experience stays strong and morally sound for the next generations.

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How to Cite
Kotsis, K. T. (2025). Legality of Employing Artificial Intelligence for Writing Academic Papers in Education. Journal of Contemporary Philosophical and Anthropological Studies, 3(1). https://doi.org/10.59652/jcpas.v3i1.375
Section
Opinion Article
Author Biography

Konstantinos T. Kotsis, University of Ioannina, Greece

Konstantinos T. Kotsis was born in Athens in 1959. He studied Physics at the Aristotle University of Thessaloniki, Greece. In 1985, he was an assistant researcher at the Polytechnic Institute of New York University, Brooklyn Campus. In 1987, he got a PhD in X-ray Physics in the Physics Department at the University of Ioannina, Greece. From September 1981 to September 2000, he served as a Lecturer and Assistant Professor specializing in Solid State Physics and X-ray Diffraction at the Physics department of the University of Ioannina. Since 2000, he has served as a Faculty Member (Assistant Professor and Associate Professor) at the Department of Primary Education at the University of Ioannina. Since 2012, he has been a full Professor specializing in the Didactics of Physics and Teachers Education. He has much experience teaching in many University Departments, such as Physics, Chemistry, Informatics, Biological Applications and Technology, and Primary Education at the University of Ioannina and Aristotle University of Thessaloniki, Greece. He has published six books and three monographs. He participated in many conferences in Greece and abroad. His articles have been published in scientific International and Greek journals.       

References

Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2021). Artificial Intelligence Ethics Guidelines for K-12 Education: A Review of the Global Landscape. In I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, V. Dimitrova (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12749. Springer. https://doi.org/10.1007/978-3-030-78270-2_4 DOI: https://doi.org/10.1007/978-3-030-78270-2_4

Awad, W., & Moosa, J. (2023). Implications of AI Chatbots in Education: Challenges and Solution. Journal of Statistics Applications & Probability, 13(2), 611-622. https://doi.org/10.18576/jsap/130203 DOI: https://doi.org/10.18576/jsap/130203

Aydın, Ö., & Karaarslan, E. (2023). Is ChatGPT leading generative AI? What is beyond expectations?. Academic Platform Journal of Engineering and Smart Systems, 11(3), 118-134. https://doi.org/10.21541/apjess.1293702 DOI: https://doi.org/10.21541/apjess.1293702

Berendt, B., Littlejohn, A., Kern, P., Mitros, P., Shacklock, X., & Blakemore, M. (2017). Big data for monitoring educational systems. Publications Office of the European Union, Luxembourg. https://doi.org/10.2766/38557

Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R. …Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606-659. https://doi.org/10.1111/1748-8583.12524 DOI: https://doi.org/10.1111/1748-8583.12524

Callier, M., & Callier, H. (2018). Blame It on the Machine: A Socio-Legal Analysis of Liability in an AI World. Blame it on the ma-chine: A socio-legal analysis of liability in an AI world. Washington Journal of Law, Technology & Arts, 14(1), 49-72. https://digitalcommons.law.uw.edu/cgi/viewcontent.cgi?article=1289&context=wjlta

Capinding, A. T., & Dumayas, F. T. (2024). Transformative Pedagogy in the Digital Age: Unraveling the Impact of Artificial Intelligence on Higher Education Students. Problems of Education in the 21st Century, 82(5), 630-657. https://doi.org/10.33225/pec/24.82.630 DOI: https://doi.org/10.33225/pec/24.82.630

Cath, C. (2018). Governing artificial intelligence: ethical, legal and technical opportunities and challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180080. https://doi.org/10.1098/rsta.2018.0080 DOI: https://doi.org/10.1098/rsta.2018.0080

Comunale, M., & Manera, A. (2024). The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions. IMF Working Papers, 2024(065). International Monetary Fund. https://doi.org/10.5089/9798400268588.001 DOI: https://doi.org/10.5089/9798400268588.001

Cooperman, S. R., & Brandão, R. A. (2024). AI assistance with scientific writing: Possibilities, pitfalls, and ethical considerations. Foot & Ankle Surgery: Techniques, Reports & Cases, 4(1), 100350. https://doi.org/10.1016/j.fastrc.2023.100350 DOI: https://doi.org/10.1016/j.fastrc.2023.100350

Delgado, V., Sales, K., & Abreu, V. (2024). Ethical reflections on the use of Generative Artificial Intelligence in the academic sphere: writing and authorship. In Anais do V Workshop sobre as Implicações da Computação na Sociedade (pp. 153-160). Porto Alegre: SBC. https://doi.org/10.5753/wics.2024.3170 DOI: https://doi.org/10.5753/wics.2024.3170

Djeffal, C., Siewert, M. B., & Wurster, S. (2022). Role of the state and responsibility in governing artificial intelligence: a comparative analysis of AI strategies. Journal of European Public Policy, 29(11), 1799–1821. https://doi.org/10.1080/13501763.2022.2094987 DOI: https://doi.org/10.1080/13501763.2022.2094987

Driessens, O., & Pischetola, M. (2024). Danish university policies on generative AI: Problems, assumptions and sustainability blind spots. MedieKultur: Journal of Media and Communication Research, 40(76), 31–52. https://doi.org/10.7146/mk.v40i76.143595 DOI: https://doi.org/10.7146/mk.v40i76.143595

Ersöz, A. R., & Engin, M. (2024). Exploring Ethical Dilemmas in the Use of Artificial Intelligence in Academic Writing: Perspectives of Researchers. Journal of Uludag University Faculty of Education, 37(3), 1190-1208. https://doi.org/10.19171/uefad.1514323 DOI: https://doi.org/10.19171/uefad.1514323

Febriyanti, S. N., Anggraini, M., & Fitria, B. F. M. (2024). Digital Discourse on the ChatGPT Controversy: Reflections on the Controversial Use of Artificial Intelligence Among Indonesian Youth. Journal of Humanities and Social Sciences Studies, 6(9), 01–07. https://doi.org/10.32996/jhsss.2024.6.9.1 DOI: https://doi.org/10.32996/jhsss.2024.6.9.1

Ghimire, A. (2024). Generative AI in Education From the Perspective of Students, Educators, and Administrators. All Graduate Theses and Dissertations, Fall 2023 to Present. 124. https://doi.org/10.26076/c582-c0bc

Hall, B. M. (2006). Australia needs an office of academic integrity. Medical Journal of Australia, 185(11-12), 619-622. https://doi.org/10.5694/j.1326-5377.2006.tb00731.x DOI: https://doi.org/10.5694/j.1326-5377.2006.tb00731.x

Hegazy, A. Z., Gaber, S. A., Alkhateeb, I. A., Alqatam, M. A., Almughyirah, S. M., Mahgoub, Y. M., & Shahat, H. A. (2024). Saudi Postgraduate Students’ Ethical Commitment between Awareness and Application of Artificial Intelligence in Scientific Writing. International Journal of Learning, Teaching and Educational Research, 23(10), 583-598. https://doi.org/10.26803/ijlter.23.10.28 DOI: https://doi.org/10.26803/ijlter.23.10.28

Hutson M. (2022). Could AI help you to write your next paper?. Nature, 611(7934), 192–193. https://doi.org/10.1038/d41586-022-03479-w DOI: https://doi.org/10.1038/d41586-022-03479-w

Jain, R., Pathak, D., & Chandan, M. (2020). Ethical Considerations in AI: Navigating Bias, Fairness, and Accountability. Res Militaris, 10(1), 149-155. https://resmilitaris.net/uploads/paper/29de6d2c59ea5f1db04003827e93a6c7.pdf

Khan, Z. R. (2024). Academic Integrity Training Module for Academic Stakeholders: IEPAR Framework. Journal of Academic Ethics, 22(1), 9-31. https://doi.org/10.1007/s10805-024-09517-8 DOI: https://doi.org/10.1007/s10805-024-09517-8

Koshiyama, A., Kazim, E., Treleaven, P., Rai, P., Szpruch, L., Pavey, G.,... & Chatterjee, S. (2024). Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms. Royal Society Open Science, 11(5), 230859. https://doi.org/10.1098/rsos.230859 DOI: https://doi.org/10.1098/rsos.230859

Lawasi, M. C., Rohman, V. A., & Shoreamanis, M. (2024). The Use of AI in Improving Student’s Critical Thinking Skills. Proceedings Series on Social Sciences & Humanities, 18, 366–370. https://doi.org/10.30595/pssh.v18i.1279 DOI: https://doi.org/10.30595/pssh.v18i.1279

Liu, W., & Wang, Y. (2024). The Effects of Using AI Tools on Critical Thinking in English Literature Classes Among EFL Learners: An Intervention Study. European Journal of Education, 59(4), e12804. https://doi.org/10.1111/ejed.12804 DOI: https://doi.org/10.1111/ejed.12804

Mayasari, N., Sastraatmadja, A. H. M., Suparman, T., Mutiara, I. I., & Maqfirah, P. A.-V. (2024). Effectiveness of Using Artificial Intelligence Learning Tools and Customized Curriculum on Improving Students’ Critical Thinking Skills in Indonesia. The Eastasouth Journal of Learning and Educations, 2(02), 111–118. https://doi.org/10.58812/esle.v2i02.302 DOI: https://doi.org/10.58812/esle.v2i02.302

McDonald, N., Johri, A., Ali, A., & Hingle, A. (2024). Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines. ArXiv. https://doi.org/10.48550/arXiv.2402.01659 DOI: https://doi.org/10.1016/j.chbah.2025.100121

Osipov, D. (2024). Ethics of AI Technologies in “Sensitive” Content Creation and Evaluation. School Shooting Cases. Galactica Media: Journal of Media Studies, 6(3), 44-65. https://doi.org/10.46539/gmd.v6i3.530 DOI: https://doi.org/10.46539/gmd.v6i3.530

Rabbani, M. R., & Khan, S., & Thalassinos, E. I. (2020). FinTech, Blockchain and Islamic Finance: An Extensive Literature Review. International Journal of Economics and Business Administration, 8(2), 65-86. DOI: 10.35808/ijeba/444 DOI: https://doi.org/10.35808/ijeba/444

Sabzalieva, E., & Valentini, A. (2023). ChatGPT and artificial intelligence in higher education: Quick start guide. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000385146

Saheb, T., & Saheb, T. (2024). Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis. Science and Engineering Ethics, 30, 9. https://doi.org/10.1007/s11948-024-00472-6 DOI: https://doi.org/10.1007/s11948-024-00472-6

Sako, T. (2024). Enhancing critical thinking through AI-Assisted collaborative Task-based learning: A case study of prospective teachers in Japan. Journal of English Language Teaching and Linguistics, 9(2), 157-170. http://dx.doi.org/10.21462/jeltl.v9i2.1319 DOI: https://doi.org/10.21462/jeltl.v9i2.1319

Sales de Aguiar, T. R. (2024). ChatGPT: reflections from the UK higher education institutions, accountancy bodies and BIG4s. Accounting Research Journal, 37(3), 308 – 329. https://doi.org/10.1108/ARJ-07-2023-0184 DOI: https://doi.org/10.1108/ARJ-07-2023-0184

Sarkar, S., & Kumar, R. (2024). Mapping the Contours: Utopic and Dystopic Perspectives on the Use of AI in Higher Education. Canadian Perspectives on Academic Integrity, 7(4). https://doi.org/10.55016/ojs/cpai.v7i4.78308 DOI: https://doi.org/10.55016/ojs/cpai.v7i4.78308

Söğüt, S. (2024). Generative Artificial Intelligence in EFL Writing: A pedagogical stance of pre-service teachers and teacher trainers. Focus on ELT Journal, 6(1), 58-73. https://focusonelt.com/index.php/foe/article/view/134

Sousa, M. J., Suleman, F., Melé, P. M., & Gómez, J. M. (2021). New Research and Trends in Higher Education. Education Sciences, 11(9), 456. https://doi.org/10.3390/educsci11090456 DOI: https://doi.org/10.3390/educsci11090456

Tauginienė, L. (2016). Embedding academic integrity in public universities. Journal of academic ethics, 14, 327-344. https://doi.org/10.1007/s10805-016-9268-4 DOI: https://doi.org/10.1007/s10805-016-9268-4

Teremetskyi, V., Burylo, Y., Zozuliak, O., Koshmanov, M., Polyova, N., & Petruk, O. (2024). Academic Integrity in The Age of Arti-ficial Intelligence: World Trends and Outlook for Ukraine from The Legal Perspective. Pakistan Journal of Life and Social Sciences, 22(1), 2020-2029. https://doi.org/10.57239/PJLSS-2024-22.1.00147 DOI: https://doi.org/10.57239/PJLSS-2024-22.1.00147

Torrance, A. W., & Tomlinson, B. (2023). Training is Everything: Artificial Intelligence, Copyright, and Fair Training. arXiv. https://doi.org/10.48550/arXiv.2305.03720

Veach, A., & Abualkibash, M. (2023). Analysing Chatgpt’s Potential Through the Lens of Creating Research Papers. International Journal of Computer Science & Information Technology, 15(4), 49-65. https://doi.org/10.5121/ijcsit.2023.15405 DOI: https://doi.org/10.5121/ijcsit.2023.15405

Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., & Liu, J. (2023). Ethical considerations of using ChatGPT in health care. Journal of Medical Internet Research, 25, e48009. https://doi.org/10.2196/48009 DOI: https://doi.org/10.2196/48009

Whitman, B., & Tallents, G. (2010). Development of a Research Integrity and Ethics Framework in a Higher Education Institution: Five Years On. Research Ethics, 6(3), 81-85. https://doi.org/10.1177/174701611000600303 DOI: https://doi.org/10.1177/174701611000600303