The impact of Generative Artificial Intelligence in higher education: a focus on ethics and academic integrity

Authors

DOI:

https://doi.org/10.30827/relieve.v29i2.29134

Keywords:

ethics, academic integrity, Generative Artificial Intelligence (GAI), higher education

Abstract

Generative Artificial Intelligence (GAI) has revolutionized the field of higher education, and sparked debates on the potential of tools such as ChatGPT, Humata.ai or Sudowrite in teaching, learning and assessment processes. While their integration in this context offers numerous opportunities (e.g., instant feedback, generation of resources and teaching materials, adaptive learning, interactivity, etc.), it also poses significant challenges that raise ethical and academic integrity concerns, such as the reliability of information, transparency regarding the sources used, or data privacy and security. The aim of this article is to examine the ethical implications of GAI in higher education from a three-fold perspective (students, faculty, and institutions). Additionally, it aims to analyze its impact on aspects related to security, accessibility, sustainability and even new forms of plagiarism and academic fraud that involve impersonation of authorship. Based on the literature review conducted, and in accordance with the ideas proposed by some authors, possibilities for integrating GAI into university classrooms will be explored. This will be achieved through pedagogical practices that guide students in the proper use of GAI and enable faculty to seek new educational approaches. This transformation process will require the establishment of clear guidelines that align with ethical codes and integrity policies of higher education institutions. Ultimately, the reflection on how to combine education, innovation, and academic integrity will provide these three groups with a new opportunity to drive improvements in university education. 

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Author Biographies

Cinta Gallent Torres, University of Valencia, University of the Balearic Islands, Spain

PhD in Educational Intervention at the University of Valencia (UV, Spain). She currently teaches French and translation at the UV. She also tutors end-of-degree projects in the degree in Translation and Interlinguistic Mediation, as well as in the master's degree in Creative and Humanistic Translation. She has taught at the University of Connecticut and the College of Continuing Studies (USA). Her research interests include academic dishonesty, publication ethics, cyber-plagiarism, emerging technologies, second language teaching, and tutoring of university students. She is currently a member of the Institut de Recherche et d'Action sur la Fraude et le Plagiat Académiques (IRAFPA), the Ibero-American Network for Academic Integrity Research (Red-IA), and the Forthem Alliance. (email: cinta.gallent@uv.es

Alfredo Zapata González, Autonomous University of Yucatán, Mexico

Bachelor in Computer Science at the Autonomous University of Yucatan (UADY, Mexico), Bachelor in Educational Sciences (286-SEP agreement), Master and PhD in Advanced Information Technologies at the University of Castilla-La Mancha (UCLM, Spain). His research work focuses on topics related to digital literacy, data mining and recommender systems applied in educational environments. He has published several articles in indexed journals with impact factor. He is co-author of several book chapters and has participated with papers in several national and international conferences. He is a professor at the Faculty of Education of the UADY. He is currently a member of the National System of Researchers of the National Council of Science and Technology of Mexico at level 1. (email: zgonza@correo.uady.mx) 

José Luis Ortego Hernando, University of the Balearic Islands, Spain

Bachelor in Educational Psychology. Disability officer of the University Office for Support to People with Specific Needs at the University of the Balearic Islands (UIB). Associate Professor at the UIB (2005-2011) teaching subjects related to the field of disability and new technologies applied to education. He delivers training courses related to learning and the needs of people with disabilities at various institutions in the Balearic Islands. He is also the coordinator of the Digitalization and Information and Communication Technologies group of the Network of Support Services for Disability at Universities in Spain (SAPDU). (email: jluis.ortego@uib.cat) 

References

Ahmad, N., Murugesan, S., & Kshetri, N. (2023). Generative Artificial Intelligence and the Education Sector. Computer, 56(6), 72-76. https://doi.org/10.1109/MC.2023.3263576

Arkoudas, K. (2023). ChatGPT is no Stochastic Parrot. But it also Claims that 1 is Greater than 1. Philos. Technol. 36(54). https://doi.org/10.1007/s13347-023-00619-6

Ausín, T. (2021). ¿Por qué la ética para la Inteligencia Artificial? Lo viejo, lo nuevo y lo espurio. Sociología y Tecnociencia, 11, extra 2, 1-16. https://tinyurl.com/49h2huhn

Aydin, Ö. (2023). Google Bard generated literature review: metaverse. Journal of AI, 7(1), 1-14. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4454615

Ayoola, O. O., Alenoghena, R., & Adeniji, S. (2023). ChatGPT impacts on access-efficiency, employment, education and ethics: The socio-economics of an AI language model. BizEcons Quarterly, 16, 1-17.

Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62. https://doi.org/10.2139/ssrn.4337484

Baskara, F. R., & Mukarto, F. X. (2023). Exploring the Implications of ChatGPT for Language Learning in Higher Education. IJELTAL. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343-358. https://ijeltal.org/index.php/ijeltal/article/view/1387/pdf

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? En Proceedings of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). https://doi.org/10.1145/3442188.3445922

Bordignon, F., Dughera, L., & Tolosa, G. (2023). IAG y el momento de las máquinas imperfectas. Revista Hipertextos, 11(19), e069.https://doi.org/10.24215/23143924e069

Cárdenas, J. (2023). Inteligencia artificial, investigación y revisión por pares: escenarios futuros y estrategias de acción. RES. Revista Española de Sociología, 32(4), 199. https://doi.org/10.22325/fes/res.2023.184

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 1-25. https://doi.org/10.1186/s41239-023-00408-3

Chance, C. (2022). Has there been a second AI big Bang? Forbes. https://www.forbes.com/sites/calumchace/2022/10/18/has-there-been-a-second-ai-big-bang/

Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32, 444-452. https://doi.org/10.1007/s10956-023-10039-y

Cotton, D. R. E, Cotton, P. A. et Reuben Shipway, J. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChaGPT. Innovations in Education and Teaching International. Routledge. Taylor & Francis Group, pp. 1-12. https://doi.org/10.1080/14703297.2023.2190148

Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of sport, 40(2), 615-622. https://doi.org/10.5114/biolsport.2023.125623

Dogru, T., Line, N., Mody, M., Hanks, L., Abbott, J. A., Acikgoz, F., ... & Zhang, T. (2023). Generative artificial intelligence in the hospitality and tourism industry: Developing a framework for future research. Journal of Hospitality & Tourism Research, 10963480231188663. https://doi.org/10.1177/10963480231188663

Du, H., Liu, G., Niyato, D., Zhang, J., Kang, J., Xiong, Z., ... & Kim, D. I. (2023). Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts. arXiv preprint arXiv:2309.02616.

Ebers, M. (2023). El futuro marco jurídico europeo de la inteligencia artificial. Revista general de legislación y jurisprudencia, (2), 249-280. https://dialnet.unirioja.es/servlet/articulo?codigo=8927540

Ellis, A. R., & Slade, E. (2023). A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education. Journal of Statistics and Data Science Education, 31(2), 1-10. https://doi.org/10.1080/26939169.2023.2223609

Escobar Hernández, J.C. (2021). La Inteligencia Artificial y la enseñanza de lenguas: una aproximación al tema. Decires. Revista del Centro de Enseñanza para Extranjeros, 25(21), 29-44. https://doi.org/10.22201/cepe.14059134e.2021.21.25.3

European Commission, Directorate-General for Education, Youth, Sport, and Culture (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Publications Office of the European Union. https://data.europa.eu/doi/10.2766/153756

Faraboschi, P., Frachtenberg, E., Laplante, P., Milojicic, D., & Saracco, R. (2023). Artificial General Intelligence: Humanity’s Downturn or Unlimited Prosperity. Computer, 56(10), 93-101. https://doi.org/10.1109/MC.2023.3297739

Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 1-15. https://doi.org/10.1080/14703297.2023.2195846

Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflexiones sobre la ética, potencialidades y retos de la Inteligencia Artificial en el marco de la Educación de Calidad (ODS4). Comunicar, 31(74), 37-47. https://doi.org/10.3916/C74-2023-03

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304. https://doi.org/10.1080/15228053.2023.2233814

Gallent Torres, C. (2024). L’utilisation de l’IA Générative dans le cadre de l’enseignement du FLE : aspects pratiques et considérations éthiques. Inteligencia Artificial, ¿amiga o enemiga? Colección Ciencias Sociales en abierto. Peter Lang (en proceso de publicación).

García-Brustenga, G., Fuertes-Alpiste, M., & Molas-Castells, N. (2018). Briefing paper: los chatbots en educación. eLearn Center. Universitat Oberta de Catalunya. https://doi.org/10.7238/elc.chatbots.2018

Guerrero-Dib, J. G., Portales, L., & Gallego, D. (2023). Academic Integrity as a Way to Promote Workplace Ethical Behaviour. In Academic Integrity in the Social Sciences: Perspectives on Pedagogy and Practice (pp. 165-183). Springer International Publishing. https://doi.org/10.1007/978-3-031-43292-7_11

Gutiérrez, J. D. (2023). Lineamientos para el uso de inteligencia artificial en contextos universitarios. GIGAPP Estudios Working Papers, 10(267-272), 416-434.

Gutiérrez-Cirlos, C., Bermúdez-González, J. L., Carrillo-Pérez, D. L., Hidrogo-Montemayor, I., Martínez-González, A., Carrillo-Esper, R., & Sánchez-Mendiola, M. (2023). La medicina y el metaverso: aplicaciones actuales y futuro. Gaceta Médica, 159, 286-292. https://doi.org/10.24875/GMM.23000166

Healy, M. (2023). Using Curriculum Theory to Inform Approaches to Generative AI in Schools. SSRN 4564372. http://dx.doi.org/10.2139/ssrn.4564372

Javaid, M., Haleem, A., & Singh, R. P. (2023). A study on ChatGPT for Industry 4.0: Background, Potentials, Challenges, and Eventualities. Journal of Economy and Technology. https://doi.org/10.1016/j.ject.2023.08.001

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J. Kuhn, J., & Kasneci, G. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Lancaster, T. (2023). Artificial intelligence, text Generation tools and ChatGPT - does digital watermarking offer a solution? International Journal for Educational Integrity, 19(10), 2-14. https://doi.org/10.1007/s40979-023-00131-6

Lievens, J. (2023). Artificial Intelligence (AI) in higher education: tool or trickery? Education and New Developments, 2, 645-647. International Conference on Education and New Developments, Lisboa (Portugal), 24-26 de junio de 2023. ISBN: 978-989-35106-4-3.

Littleton, E., & Fox, H. (22 de enero de 2023). Artificial intelligence presents new challenge to the university. Daily Missisippian. https://thedmonline.com/artificial-intelligence-presents-new-challenge-to-the-university/

Lv, Z. (2023). Generative Artificial Intelligence in the Metaverse Era. Cognitive Robotics, 3, 208-217. https://doi.org/10.1016/j.cogr.2023.06.001

Minsky, M. (1990). The Age of Intelligent Machines: Thoughts About Artificial Intelligence. KurzweilAI.net. http://www.kurzweilai.net/articles/art010 0.html

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221-4241. https://doi.org/10.1007/s10639-022-11316-w

OECD (2022). Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449.

OpenAI (2023). GPT-4 Technical Report. ArXiv, abs/2303.08774. https://cdn.openai.com/papers/gpt-4.pdf

Oppenlaender, J., Visuri, A., Paananen, V., Linder, R., & Silvennoinen, J. (2023). Text-to-Image Generation: Perceptions and Realities. arXiv preprint arXiv:2303.13530.

https://doi.org/10.48550/arXiv.2303.13530

Osorio, J. (2023). Revisión sistémica de la relación jurídica en entornos digitales. Ektenos, 1(2), 23-34.

Pavlik, J.V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), article 10776958221149577 https://doi.org/10.1177/1077695822114957

Porto-Castro, A. M. (2022). Percepción del alumnado y profesorado universitario sobre la accesibilidad y la inclusión. RELIEVE, Revista Electrónica de Investigación y Evaluación Educativa, 28(1), art. 7. http://doi.org/10.30827/relieve.v28i1.23673

Qadir, J. (2023). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-9). IEEE. https://doi.org/10.36227/techrxiv.21789434

Russell, S. & Norving, P. (1996). Inteligencia Artificial: Un enfoque moderno. Primera edición en español. Prentice Hall Hispanoamericana. México.

Sabzalieva, E., & Valentini, A. (2023). ChatGPT e inteligencia artificial en la educación superior: Guía de inicio rápido. UNESCO. ED/HE/IESALC/IP/2023/12. https://unesdoc.unesco.org/ark:/48223/pf0000385146_spa

Soto, J. Á. (2023). La «velocidad de escape» de la IA y el futuro del trabajo. Nuevas Tendencias, (110), 37-39. https://revistas.unav.edu/index.php/nuevas-tendencias/article/view/45027

Stojanov, A. (2023). Learning with ChatGPT 3.5 as a more knowledgeable other: an autoethnographic study. International Journal of Educational Technology in Higher Education, 20(35), 1-17. https://doi.org/10.1186/s41239-023-00404-7

Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching, 6(1), 31-40. https://doi.org/10.37074/jalt.2023.6.1.17

Sun, G.H., & Hoelscher, S. (2023). The ChatGPT Storm and What Faculty Can Do. Nurse Educ, 48(3), 119-124. Epub. https://doi.org/10.1097/NNE.0000000000001390

Sun, W., Yan, L., Ma, X., Ren, P., Yin, D., & Ren, Z. (2023). Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. arXiv preprint arXiv:2304.09542. https://doi.org/10.48550/arXiv.2304.09542

Tapia, A. J. (2020). Decálogo de la inteligencia artificial ética y responsable en la Unión Europea. Diario La Ley, 9749, sección Tribuna.http://www.aidaargentina.com/wp-content/uploads/Dec%C3%A1logo_de_la_inteligen...-1.pdf

Terrones, A. L. (2022). Ética para la inteligencia artificial sostenible. Arbor, 198(806), a683. https://doi.org/10.3989/arbor.2022.806013

Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, LIX, 236, 433-460. https://doi.org/10.1093/mind/LIX.236.433

UNESCO (2021). Recomendación sobre la Ética de la Inteligencia Artificial. https://unesdoc.unesco.org/ark:/48223/pf0000380455_spa

European Parlament (2023). EU Artificial Intelligence Act. https://tinyurl.com/3kv85wn9

UNESCO (2019). Consenso de Beijing sobre la Inteligencia artificial. International Conference on Artificial Intelligence and Education. Planning Education in the AI Era: Lead the Leap. Beijing. https://unesdoc.unesco.org/ark:/48223/pf0000368303

UNESCO (2021). Inteligencia artificial y educación. Guía para las personas a cargo de formular políticas. https://unesdoc.unesco.org/ark:/48223/pf0000379376

UNESCO (2021). Ética de la Inteligencia Artificial. https://www.unesco.org/es/artificial-intelligence/recommendation-ethics

Vidal, J., Llorens-Largo, F., & García-Peñalvo, F. J. (2024). The new reality of education in the face of advances in generative artificial intelligence. RIED-Revista Iberoamericana de Educación a Distancia, 27(1). https://doi.org/10.5944/ried.27.1.37716

Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., ... & Ziemba, E. (2023). The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT. Entrepreneurial Business and Economics Review, 11(2), 7-24. https://doi.org/10.15678/EBER.2023.110201

Waltzer, T., Cox, R. L., & Heyman, G. D. (2023). Testing the ability of teachers and students to differentiate between essays generated by ChatGPT and High School Students. Human Behaviour and Emerging Technologies, ID artículo 1923981, 1-9. https://doi.org/10.1155/2023/1923981

Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltýnek, T., Guerrero-Dib, J., Popoola, O., ... & Waddington, L. (2023). Testing of detection tools for AI-generated text. arXiv preprint arXiv:2306.15666. https://arxiv.org/ftp/arxiv/papers/2306/2306.15666.pdf

Zhu, Y., & Yang, F. (2023). ChatGPT/AIGC and Educational Innovation: Opportunities, Challenges, and the Future. Journal of East China Normal University (Educational Sciences), 41(7). 1.

Published

2023-12-11

How to Cite

Gallent Torres, C., Zapata González, A., & Ortego Hernando, J. L. (2023). The impact of Generative Artificial Intelligence in higher education: a focus on ethics and academic integrity . RELIEVE – Electronic Journal of Educational Research and Evaluation, 29(2). https://doi.org/10.30827/relieve.v29i2.29134