"If anybody finds out you are in BIG TROUBLE": Understanding Children's Hopes, Fears, and Evaluations of Generative AI
Aayushi Dangol, Robert Wolfe, Daeun Yoo, Arya Thiruvillakkat, Ben Chickadel, Julie A. Kientz
TL;DR
The paper investigates how children aged 9–10 perceive generative AI and the roles they envision for it in education and daily life. Using a three-session classroom pilot with 37 fifth-graders and a hopes-and-fears framework, it analyzes non-embodied genAI interactions through agent exploration, collaborative tasks, and explicit evaluation criteria. Key findings reveal three perceived roles for genAI—advisor, collaborator, and task automator—alongside fears of diminished learning, disciplinary risks, and negative long-term outcomes, with concrete evaluation criteria including accuracy, speed, clarity, creativity, and social-emotional engagement. The study highlights the need for child-centered AI design and AI literacy to help youth navigate evolving relationships with digital technologies in educational settings.
Abstract
As generative artificial intelligence (genAI) increasingly mediates how children learn, communicate, and engage with digital content, understanding children's hopes and fears about this emerging technology is crucial. In a pilot study with 37 fifth-graders, we explored how children (ages 9-10) envision genAI and the roles they believe it should play in their daily life. Our findings reveal three key ways children envision genAI: as a companion providing guidance, a collaborator working alongside them, and a task automator that offloads responsibilities. However, alongside these hopeful views, children expressed fears about overreliance, particularly in academic settings, linking it to fears of diminished learning, disciplinary consequences, and long-term failure. This study highlights the need for child-centric AI design that balances these tensions, empowering children with the skills to critically engage with and navigate their evolving relationships with digital technologies.
