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Children's Overtrust and Shifting Perspectives of Generative AI
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Children's Overtrust and Shifting Perspectives of Generative AI
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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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Cited by 1 Pith paper
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EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers
EduZone is a new evaluation framework and 5.2K-prompt dataset showing that LLMs are substantially more vulnerable to education-specific risks and adaptive multi-turn attacks than to conventional safety risks.
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