14 citations · 20 across the 4 of their papers we have counts for
5 papers
Longitudinal Monitoring of LLM Content Moderation of Social Issues
Yunlang Dai, Emma Lurie, Danaé Metaxa +1
Large language models' (LLMs') outputs are shaped by opaque and frequently-changing company content moderation policies and practices. LLM moderation often takes the form of refusa…
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 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…
Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers
Lena Armstrong, Danaé Metaxa
As the use of automated employment decision tools (AEDTs) has rapidly increased in hiring contexts, especially for computing jobs, there is still limited work on applicants' percep…
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…