26 citations · 93 across the 14 of their papers we have counts for
5 papers · 1 filter
Investigating Youth's Technical and Ethical Understanding of Generative Language Models When Engaging in Construction and Deconstruction Activities
Luis Morales-Navarro
The widespread adoption of generative artificial intelligence/machine learning (AI/ML) technologies has increased the need to support youth in developing AI/ML literacies. However,…
Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models
Luis Morales-Navarro, Daniel J. Noh, Yasmin B. Kafai
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 u…
Youth as Advisors in Participatory Design: Situating Teens' Expertise in Everyday Algorithm Auditing with Teachers and Researchers
Daniel J. Noh, Deborah A. Fields, Luis Morales-Navarro +3
Research on children and youth's participation in different roles in the design of technologies is one of the core contributions in child-computer interaction studies. Building on…
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Lauren Vogelstein +2
While there is widespread interest in supporting young people to critically evaluate machine learning-powered systems, there is little research on how we can support them in inquir…
Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
Tiffany Tseng, Matt J. Davidson, Luis Morales-Navarro +5
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Y…