Aleksandra Vučković (University of Belgrade), "Can AI Contribute to Fairness in Education?"
Abstract: When we discuss AI implementation in education, we often think about predictive models that indicate the individual's progress in the educational system. On top of that, another type of AI - large language models (LLMs) - has recently gained attention in the debates on education due to the concerns regarding students' potential overreliance on ChatGPT and similar software. We analyze these technologies in a somewhat different context and reason they could contribute to a more wholesome approach to education or, more precisely, one that is governed by the principles of equity and inclusion. If properly introduced, predictive models and LLMs could significantly improve the process of gaining knowledge and contribute to fairness in teaching and grading. Moreover, personalized curriculums would not only maximize each individual's potential but, as we argue, could also mitigate the disbalance between the capitalist center and periphery and broaden overall cultural diversity.
