Children's Overtrust and Shifting Perspectives of Generative AI

April 22, 2024 Β· Declared Dead Β· πŸ› Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024

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Authors Jaemarie Solyst, Ellia Yang, Shixian Xie, Jessica Hammer, Amy Ogan, Motahhare Eslami arXiv ID 2404.14511 Category cs.HC: Human-Computer Interaction Citations 24 Venue Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 Last Checked 4 months ago
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.
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