Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models

• URL: http://arxiv.org/abs/2504.14769v1
• Date: Sun, 20 Apr 2025 23:40:29 GMT
• Title: Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models
• Authors: Luis Morales-Navarro, Daniel J. Noh, Yasmin B. Kafai,
• Abstract summary: Youth are increasingly using generative language models (GLMs) in their everyday lives.<n>Most research has centered on supporting youth as users of GLM-powered systems.<n>This paper contributes a case study that demonstrates the feasibility of engaging youth in building GLMs.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: As generative language models (GLMs) have gained popularity, youth are increasingly using them in their everyday lives. As such, most research has centered on supporting youth as users of GLM-powered systems. However, we know little of how to engage youth in the design of these models. Building on the rich legacy of child-computer interaction research that positions youth as designers of computing systems, we explore how to support young people in designing GLMs. Through a case study of three teenagers (ages 14-15) building a babyGPT screenplay generator, we illustrate how the team developed a model while engaging in artificial intelligence/machine learning-relevant data practices and addressing ethical issues. This paper contributes a case study that demonstrates the feasibility of engaging youth in building GLMs.

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