Children's Overtrust and Shifting Perspectives of Generative AI
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866917708640026624 |
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| author | Solyst, Jaemarie Yang, Ellia Xie, Shixian Hammer, Jessica Ogan, Amy Eslami, Motahhare |
| author_facet | Solyst, Jaemarie Yang, Ellia Xie, Shixian Hammer, Jessica Ogan, Amy Eslami, Motahhare |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14511 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Children's Overtrust and Shifting Perspectives of Generative AI Solyst, Jaemarie Yang, Ellia Xie, Shixian Hammer, Jessica Ogan, Amy Eslami, Motahhare Human-Computer Interaction 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. |
| title | Children's Overtrust and Shifting Perspectives of Generative AI |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2404.14511 |