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Artificial Intelligence in Education: Ethical Considerations and Insights from Ancient Greek Philosophy

Published 4 Sep 2024 in cs.CY | (2409.15296v1)

Abstract: This paper explores the ethical implications of integrating AI in educational settings, from primary schools to universities, while drawing insights from ancient Greek philosophy to address emerging concerns. As AI technologies increasingly influence learning environments, they offer novel opportunities for personalized learning, efficient assessment, and data-driven decision-making. However, these advancements also raise critical ethical questions regarding data privacy, algorithmic bias, student autonomy, and the changing roles of educators. This research examines specific use cases of AI in education, analyzing both their potential benefits and drawbacks. By revisiting the philosophical principles of ancient Greek thinkers such as Socrates, Aristotle, and Plato, we discuss how their writings can guide the ethical implementation of AI in modern education. The paper argues that while AI presents significant challenges, a balanced approach informed by classical philosophical thought can lead to an ethically sound transformation of education. It emphasizes the evolving role of teachers as facilitators and the importance of fostering student initiative in AI-rich environments.

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References (40)
  1. R. S. Baker and K. Yacef. 2009. The State of Educational Data Mining in 2009: A Review and Future Visions. Journal of Educational Data Mining 1, 1 (2009), 3–17.
  2. Stephen P Balfour. 2013. Assessing writing in MOOCs: Automated essay scoring and calibrated peer review. Research & Practice in Assessment 8 (2013), 40–48.
  3. Artificial intelligence and the ’good society’: the US, EU, and UK approach. Science and engineering ethics 24 (2018), 505–528.
  4. Emotion-oriented systems: the Humaine handbook. Springer.
  5. John Dillon. 2003. The heirs of Plato: A study of the Old Academy (347-274 BC). Oxford University Press.
  6. Joseph Dunne. 1993. Back to the rough ground: Practical judgment and the lure of technique. University of Notre Dame Press.
  7. WKC Guthrie. 1971. The Sophists. Cambridge University Press. (1971).
  8. Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.
  9. Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In Artificial Intelligence in Education: 19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part I 19. Springer, 154–168.
  10. Werner Jaeger. 1939. The Ideals of Greek Culture. Basil Blackwell.
  11. Kostas Karpouzis. 2023. Explainable AI for intelligent tutoring systems. In International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications. Springer, 59–70.
  12. Kostas Karpouzis. 2024a. Plato’s Shadows in the Digital Cave: Controlling Cultural Bias in Generative AI. Electronics 13, 8 (2024), 1457.
  13. Kostas Karpouzis. 2024b. What would Plato say? Concepts and notions from Greek philosophy applied to gamification mechanics for a meaningful and ethical gamification. arXiv preprint arXiv:2403.08041 (2024).
  14. Richard Kraut. 2017. Plato. Routledge.
  15. Kristján Kristjánsson. 2015. Aristotelian character education. Routledge.
  16. James A Kulik and John D Fletcher. 2016. Effectiveness of intelligent tutoring systems: a meta-analytic review. Review of educational research 86, 1 (2016), 42–78.
  17. Challenges and future directions of big data and artificial intelligence in education. Frontiers in psychology 11 (2020), 580820.
  18. Rose Luckin and Wayne Holmes. 2016. Intelligence unleashed: An argument for AI in education. (2016).
  19. Towards Evidence-informed Design Principles for Adaptive Reading Games. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 1–4.
  20. Fabio Morandín-Ahuerma. 2023. Ten UNESCO Recommendations on the Ethics of Artificial Intelligence. (2023).
  21. Guru: A computer tutor that models expert human tutors. In Intelligent Tutoring Systems: 11th International Conference, ITS 2012, Chania, Crete, Greece, June 14-18, 2012. Proceedings 11. Springer, 256–261.
  22. Legal and ethical considerations regarding the use of ChatGPT in education. arXiv preprint arXiv:2306.10037 (2023).
  23. Andrea Alejandra Rendón Peña. 2019. Robot-Proof: Higher Education in the age of artificial intelligence Joseph E. Aoun.(2017). EE UU: MIT. Innovación Educativa 19, 80 (2019), 181–183.
  24. Stefan AD Popenici and Sharon Kerr. 2017. Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning 12, 1 (2017), 1–13.
  25. Paul Prinsloo and Sharon Slade. 2017. The ethics of learning analytics in higher education. The Handbook of Learning Analytics 1 (2017), 381–390.
  26. Priscilla M Regan and Jolynn Jesse. 2019. Ethical challenges of edtech, big data and personalized learning: Twenty-first century student sorting and tracking. Ethics and Information Technology 21, 3 (2019), 167–179.
  27. Justin Reich and Mizuko Ito. 2017. From good intentions to real outcomes: Equity by design in learning technologies. Digital Media and Learning Research Hub (2017).
  28. Cynthia Rudin. 2019. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature machine intelligence 1, 5 (2019), 206–215.
  29. John Sellars. 2014. Stoicism. Routledge.
  30. Neil Selwyn. 2019. Should Robots Replace Teachers? AI and the Future of Education. John Wiley & Sons.
  31. Sharon Slade and Paul Prinsloo. 2013. Learning analytics: Ethical issues and dilemmas. American Behavioral Scientist 57, 10 (2013), 1510–1529.
  32. Academic integrity and contract cheating policy analysis of colleges in Ontario, Canada. International Journal for Educational Integrity 15, 1 (2019), 1–18.
  33. Complexity leadership in learning analytics: Drivers, challenges and opportunities. British Journal of Educational Technology 50, 6 (2019), 2839–2854.
  34. George Tsatiris and Kostas Karpouzis. 2021. Developing for personalised learning: the long road from educational objectives to development and feedback. arXiv preprint arXiv:2101.11333 (2021).
  35. Ilkka Tuomi. 2019. The Impact of Artificial Intelligence on Learning, Teaching, and Education: Policies for the Future. JRC Science for Policy Report. European Commission (2019).
  36. Shannon Vallor. 2016. Technology and the virtues: A philosophical guide to a future worth wanting. Oxford University Press.
  37. Michael Veale and Frederik Zuiderveen Borgesius. 2021. Demystifying the Draft EU Artificial Intelligence Act—Analysing the good, the bad, and the unclear elements of the proposed approach. Computer Law Review International 22, 4 (2021), 97–112.
  38. Gregory Vlastos. 1991. Socrates, ironist and moral philosopher. Vol. 50. Cornell University Press.
  39. Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education 16, 1 (2019), 1–27.
  40. Shoshana Zuboff. 2023. The age of surveillance capitalism. In Social theory re-wired. Routledge, 203–213.
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