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Computer Science > Human-Computer Interaction

Title: Children's Overtrust and Shifting Perspectives of Generative AI

Abstract: The capabilities of generative AI (genAI) have dramatically increased in recent times, and there are opportunities for children to leverage new features for personal and school-related endeavors. However, while the future of genAI is taking form, there remain potentially harmful limitations, such as generation of outputs with misinformation and bias. We ran a workshop study focused on ChatGPT to explore middle school girls' (N = 26) attitudes and reasoning about how genAI works. We focused on girls who are often disproportionately impacted by algorithmic bias. We found that: (1) middle school girls were initially overtrusting of genAI, (2) deliberate exposure to the limitations and mistakes of generative AI shifted this overtrust to disillusionment about genAI capabilities, though they were still optimistic for future possibilities of genAI, and (3) their ideas about school policy were nuanced. This work informs how children think about genAI like ChatGPT and its integration in learning settings.
Subjects: Human-Computer Interaction (cs.HC)
Journal reference: Proceedings of the 18th International Scoeity of the Learning Sciences (ICLS) 2024
Cite as: arXiv:2404.14511 [cs.HC]
  (or arXiv:2404.14511v1 [cs.HC] for this version)

Submission history

From: Jaemarie Solyst [view email]
[v1] Mon, 22 Apr 2024 18:25:02 GMT (905kb)

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