Aarhus Universitets segl

Tværfaglig SHAPE-frokost: Vil GAI øge uligheden på universiteterne?

Cathrine Hasse og Maja Hojer Bruun (DPU) præsenterer deres SHAPE-projekt om studerendes brug af generativ AI på universiteterne. Mødet er åbent for alle men kræver tilmelding.

Oplysninger om arrangementet

Tidspunkt

Fredag 26. april 2024,  kl. 12:00 - 13:30

Sted

5335-295 (Nygaard), Helsingforsgade 14, 8200 Aarhus N

Arrangør

SHAPE

Tilmelding via mail til kb@cc.au.dk. Mødet foregår på engelsk. 

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Will GAI increase inequality at universities?

The emergence of recent technologies such as ChatGPT at universities can have many benefits. But it is remarkable how little research has actually been done on what GAI (Generative AI) does in relation to students in practice. Many considerations are based on considerations of what the technology can do in itself and does not include knowledge of what large language models actually do when students make use of GAI in their study work. In a SHAPE study conducted in 2023, we investigated the relationship between students and ChatGPT. The small research project shows that teachers should pay attention to how GAI can risk increasing inequality among students. This is partly because ChatGPT does not make its own ignorance apparent - and because students differ hugely in their learning potentials for asking questions and prompting. When students lack Socratic ignorance in relation to their education and this ignorance is met with a ChatGPT that does not understand the local cultural framework, the result can be misguided or counterproductive responses that deviate from educational objectives. Consequently, students may find themselves unable to utilize ChatGPT as an effective learning aid, instead, passively accepting its suggestions without critical analysis. This highlights the imperative for educators to not only acknowledge the potential benefits of GAI but also actively mitigate the risks of exacerbating educational disparities. By fostering a nuanced understanding of the interaction between students and AI technologies, educators can ensure that these tools serve as facilitators rather than hindrances to meaningful learning experiences.