A pluralistic approach to artificial intelligence: ethical and educational challenges in educational institutions
DOI:
https://doi.org/10.61007/QdC.2025.1.308Keywords:
human-centric, biases, governance, sustainability, ethicsAbstract
The study examines the perceptions of teachers and administrative staff in a comprehensive school in Sardinia, highlighting disparities in digital skills and the urgent need for targeted training. It emphasizes the potential of AI to personalize learning and optimize administrative processes, while addressing risks related to privacy, bias, and technological dependency. The research proposes an ethical and integrated approach to foster inclusivity and sustainability in educational contexts.
References
Bawden, D., & Robinson, L. (2023). Sustainable Information: Ethics, Technology, and Transformation. Oxford University Press.
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610-623. https://doi.org/10.1145/3442188.3445922.
Bennett, S., & Oliver, M. (2021). Exploring the Role of Technology in Educational Change: New Theories, New Evidence. Journal of Educational Technology Research and Development, 69(4), 1120– 1135. https://doi.org/10.1007/s11423-021-10083-9.
Binns, R. (2021). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 1-12. https://doi.org/10.1145/3442188.3445939.
Cosentino, G. (2020). Social media and the post-truth world order. London; Cham: Palgrave Pivot.
Crawford, K., & Paglen, T. (2019). Excavating AI: The Politics of Images in Machine Learning Training Sets. Excavating AI. Retrieved from https://excavating.ai/.
de Kerckhove, D. (2021). The personal digital twin, ethical considerations. Philosophical Transactions of the Royal Society A, 379(2207), 20200367.https://doi.org/10.1098/rsta.2020.0367.
Floridi, L. (2020). The Logic of Information: A Theory of Philosophy as Conceptual Design. Oxford: Oxford University Press.
Floridi, L. (2021). The ethics of artificial intelligence. Oxford: Oxford University Press.
Henz, P. (2022). The societal impact of the Metaverse. Discover Artificial Intelligence, 2(1), 19.
Jones, K. (2021). Artificial Intelligence in Education: Promise, Implications, and Caution. AI & Society, 36(2), 143-154. https://doi.org/10.1007/s00146-020-01003-0.
Koedinger, K. R., Booth, J. L., & Klahr, D. (2013). Instructional Complexity and the Science to Constrain It. Science, 342(6161), 935-937. https://doi.org/10.1126/science.1238056.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x.
Mishra, P., & Koehler, M. J. (2021). Technological Pedagogical Content Knowledge (TPACK): A Framework for Integrating Technology in Education. Educational Technology, 61(4).
Mortari, L. (2023). La cultura della cura: Sguardo, ascolto e responsabilità. Bentivoglio: ASMepa.
Noble, S. U. (2021). Algorithms of Oppression: How Search Engines Reinforce Racism. New York: New York University Press.
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453. https://doi.org/10.1126/science.aax2342.
O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown Publishing Group.
Parasuraman, R., & Manzey, D. H. (2010). Complacency and Bias in Human Use of Automation: An Attentional Integration. Human Factors: The Journal of the Human Factors and Ergonomics Society, 52(3), 381-410. https://doi.org/10.1177/0018720810376055.
Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. Publications Office of the European Union.
Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2021). Profiling teachers’ readiness for online teaching and learning in higher education: Who’s ready and who’s not? Computers in Human Behavior, 118, 106675.
Schwab, K., & Davis, N. (2021). Shaping the Future of the Fourth Industrial Revolution. New York: Crown Currency.
Selwyn, N. (2021). Education and Technology: Key Issues and Debates. London; New York; Dublin: Bloomsbury Publishing.
Turner, B. (2019). Politicising the epokhé: Bernard Stiegler and the politics of epochal suspension. In I. Apostolescu (Ed.), The subject(s) of phenomenology: Rereading Husserl, Dordrecht: Springer. 341–354.
Williamson, B., & Eynon, R. (2021). The Automation of Education: Critical Perspectives on AI, Algorithms, and Big Data.
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Community Notebook. People, Education and Welfare in the Society 5.0
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
