UMCP Class talk - Resources
November 20, 2025.
Thank you for your interest in my work. Below are links to all the resources mentioned in my talk. If you have further questions email me at luismn@upenn.edu.
Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model (Morales-Navarro et al., CSCW 2025) 📄 PDF
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications (Morales-Navarro et al., AAAI 2025) 📄 PDF
Youth as Advisors in Participatory Design: Situating Teens’ Expertise in Everyday Algorithm Auditing with Teachers and Researchers (Noh et al., IDC 2025) 📄 PDF
Youth as peer auditors: Engaging teenagers with algorithm auditing of machine learning applications. (Morales-Navarro et al., IDC 2024) 📄 PDF
Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters. (Vogelstein et al., ISLS 2025) PDF
Research on Algorithm Auditing
Teaching and Learning Resources
Research on AI/ML model design
High school students building babyGPTs: Engaging in data practices and addressing ethical issues through the construction of generative language models (Morales-Navarro et al., IJCCI 2025) 📄 PDF
Co-ML: Collaborative machine learning model building for developing dataset design practices (Tseng et al., TOCE 2024) 📄 PDF | 📼 Video
Unpacking approaches to learning and teaching machine learning in K-12 Education: Transparency, ethics, and design activities. (Morales-Navarro & Kafai, WiPSCE 2024) 📄 PDF
Not Just Training, Also Testing: High School Youths' Perspective-Taking through Peer Testing Machine Learning-Powered Applications. (Morales-Navarro et al., SIGCSE 2024) 📄 PDF