3 papers
cs.HC2026
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…
cs.HC2025
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…
cs.HC2025
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…