Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models
Fuente:
arXiv
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866913801146728448 |
|---|---|
| author | Morales-Navarro, Luis Noh, Daniel J. Kafai, Yasmin B. |
| author_facet | Morales-Navarro, Luis Noh, Daniel J. Kafai, Yasmin B. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_14769 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models Morales-Navarro, Luis Noh, Daniel J. Kafai, Yasmin B. Human-Computer Interaction Computers and Society H.5.2; K.3.2 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. |
| title | Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models |
| topic | Human-Computer Interaction Computers and Society H.5.2; K.3.2 |
| url | https://arxiv.org/abs/2504.14769 |