31 citations · 42 across the 9 of their papers we have counts for
5 papers · 1 filter
Understanding teens' self-beliefs when learning to construct and deconstruct AI/ML systems: Developing a survey instrument
Luis Morales-Navarro, Deborah Fields, Michael T. Giang +3
Despite growing calls to foster AI literacy, there are few available survey instruments designed for children and youth that study computational empowerment alongside construction…
Building to Understand: Examining Teens' Technical and Socio-Ethical Pieces of Understandings in the Construction of Small Generative Language Models
Luis Morales-Navarro, Daniel J. Noh, Lucianne Servat +3
The rising adoption of generative AI/ML technologies increases the need to support teens in developing AI/ML literacies. Child-computer interaction research argues that constructio…
Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters
Lauren Vogelstein, Vedya Konda, Deborah Fields +3
Today's youth have extensive experience interacting with artificial intelligence and machine learning applications on popular social media platforms, putting youth in a unique posi…
Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model
Luis Morales-Navarro, Michelle Gan, Evelyn Yu +3
This study investigates how high school-aged youth engage in algorithm auditing to identify and understand biases in artificial intelligence and machine learning (AI/ML) tools they…
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Vedya Konda +1
As artificial intelligence/machine learning (AI/ML) applications become more pervasive in youth lives, supporting them to interact, design, and evaluate applications is crucial. Th…