Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/11186
Title: Children’s Overtrust and Shifting Perspectives of Generative AI
Authors: Solyst, Jaemarie
Yang, Ellia
Xie, Shixian
Hammer, Jessica
Ogan, Amy
Eslami, Motahhare
Keywords: Learning Sciences
Issue Date: 2024
Publisher: International Society of the Learning Sciences
Citation: Solyst, J., Yang, E., Xie, S., Hammer, J., Ogan, A., & Eslami, M. (2024). Children’s Overtrust and Shifting Perspectives of Generative AI. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Suárez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 905-912). International Society of the Learning Sciences.
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.
Description: Long Paper
URI: https://doi.org/10.22318/icls2024.307401
https://repository.isls.org//handle/1/11186
Appears in Collections:ISLS Annual Meeting 2024

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