Articoli/Articles
V. 15 N. 2 (2024): Intelligenza Artificiale nella scuola e nella formazione universitaria. Rischi e opportunità
Intelligenza Artificiale Generativa (IAG). La nuova frontiera dell'istruzione o un dilemma etico?
Università Telematica Pegaso
Abstract
Questo articolo esplora l’impatto dell’Intelligenza Artificiale Generativa (IAG) nell’ambito educativo, analizzando le opportunità e i rischi associati alla sua integrazione in scuole e università. Nella prima parte, vengono delineate le applicazioni pratiche dell’IAG, evidenziando come possa personalizzare l’apprendimento e supportare la creatività degli studenti. Successivamente, si approfondiscono le implicazioni etiche, come la dipendenza tecnologica, la riduzione dell’autonomia degli studenti, il rischio di bias negli algoritmi e le sfide legate alla privacy dei dati. Il lavoro prosegue proponendo raccomandazioni per un’implementazione responsabile e sostenibile dell’IAG nell’educazione, sottolineando l’importanza di una regolamentazione attenta e della collaborazione tra sviluppatori, educatori e policymakers. Infine, si discutono le prospettive future per la ricerca e lo sviluppo di tecnologie IAG più trasparenti ed eque. L’articolo conclude con una riflessione sulla necessità di un approccio bilanciato, in grado di sfruttare le potenzialità dell’IAG senza compromettere l’integrità e l’equità del sistema educativo.
Riferimenti bibliografici
- Arora V. (2019). Artificial Intelligence in Schools: A Guide for Teachers, Administrators, and Educational Leaders. Routledge.
- Bender E. M., Gebru T., McMillan-Major A., and 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, pp. 610-623.
- Brown T. B., Mann B., Ryder N., Subbiah M., Kaplan J., Dhariwal P., ... and Amodei D. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33: 1877-1901.
- Brynjolfsson E., McAfee A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
- Carr N. (2010). The Shallows: What the Internet Is Doing to Our Brains. W.W. Norton & Company.
- Cummings M. L. (2021). Artificial Intelligence and Privacy: How to Protect Data in the Age of AI. MIT Press.
- Devlin J., Chang M. W., Lee K., and Toutanova K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT.
- Edwards H. (2020). The Impacts of Technology Dependence on Cognitive Skills. Educational Technology Research and Development, 68(3): 1357-1372.
- Elgammal A., Liu B., Elhoseiny M., and Mazzone M. (2017). CAN: Creative Adversarial Networks, Generating ‘the Unimaginable’. arXiv preprint arXiv, 1706.07068.
- Floridi L., Cowls J., Beltrametti M., Chatila R., and Chazerand P. (2018). AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds & Machines, 28(4): 689-707.
- Floridi L., Cowls J., Beltrametti M., Chira C., and Taddeo M. (2018). The Ethics of Artificial Intelligence. Oxford Handbook of Ethics of AI. Oxford University Press.
- Gero J. S. (2020). The Role of Generative Design in Architecture and Urban Planning. Architectural Design, 90(6): 14-21.
- Goodfellow I. et al. (2014). Generative Adversarial Networks. Advances in Neural Information Processing Systems.
- Goodfellow I., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., ... and Bengio Y. (2014). Generative adversarial nets. Advances in neural information processing systems, 27.
- Heffernan N., Heffernan C. (2014). Designing Effective Learning Environments with AI. Educational Technology Research and Development, 62(1): 1-23.
- Holmberg L. (2021). AI in Language Education: Case Studies from Finland. Interna-tional Journal of Artificial Intelligence in Education, 31(2): 213-229.
- Holmberg L. (2021). The Role of Artificial Intelligence in Language Learning: Finnish Case Studies. Journal of Educational Technology & Society, 24(1): 45-58.
- Holmes W., Bialik M., and Fadel C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
- Jones C. (2020). The Application of AI in Social Science Research at Cambridge University. Cambridge Journal of Technology, 19(4): 45-60.
- Jones D. (2020). Leveraging Generative AI for Data Analysis in Social Sciences: A Cambridge University Pilot Project. Data Science Review, 12(4): 220-235.
- Li X. (2021). AI-Assisted Research: Stanford University's Experience in Enhancing Academic Writing. Journal of Academic Research & Writing, 15(3): 102-115.
- Luckin R., Holmes W., Griffiths M., and Forcier L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
- McCormack J., Gifford T. (2019). Creativity and AI: Enhancing Artistic Expression with Generative Technologies. Journal of Creative Behavior, 53(4): 371-388.
- McCormack J., Hutchings P., and Hutchings C. (2019). Creativity and Artificial Intel-ligence. Springer.
- Noble S. U. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
- Norris P. (2001). The Digital Divide: Civic Engagement, Information Poverty, and the Internet Worldwide. Cambridge University Press.
- OECD (2021). The Impact of Artificial Intelligence on Education: Findings from the OECD Study. OECD Publishing.
- Pane J. F. et al. (2017). Effectiveness of Cognitive Tutor Algebra I at Scale. Journal of Research on Educational Effectiveness, 10(3): 211-241.
- Pink D. H. (2009). Drive: The Surprising Truth About What Motivates Us. Riverhead Books.
- Popenici S. A. D., Kerr S. (2017). Exploring the Role of Artificial Intelligence in Education. British Journal of Educational Technology, 48(6): 10-20.
- Ranieri M., Rivoltella P. C. (2020). Scuola e intelligenza artificiale: Percorsi di alfabetizzazione critica. Carocci Editore.
- Selwyn N. (2019). Education and Technology: Key Issues and Debates. Bloomsbury Academic.
- Selwyn N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
- Turkle S. (2015). Reclaiming Conversation: The Power of Talk in a Digital Age. Penguin Press.
- Voigt P., Von dem Bussche A. (2017). The EU General Data Protection Regulation (GDPR): A Practical Guide. Springer.
- Williamson B. (2017). Decoding the Digital School: Data, Analytics, and the Automation of Education. Routledge.
- Williamson B. (2020). The Digital University: A Dialogue with the Future. Routledge.
- Yoshikawa T. (2020). Adapting Mathematics Instruction with AI: Insights from Japanese Schools. International Journal of Educational Research, 95(2): 78-91.