Taller Julio 2026 - luismn.com/monserrat
Contacto: luis@luismn.com o luismn@cc.au.dk
Día 2
Instrucciones de uso: https://docs.google.com/document/d/1spsEhGoxGMXHyUG-3SMev-toZvm-tFbo/copy
Informe de auditoría: https://docs.google.com/document/d/1eUH_ac-Ddo5OAqDYQUoHl5tzy2v2c8ty/copy
CreateAI: https://createai.microbit.org/
Little Language Machine: https://lm.gen-ai.fi/workspace/home
Día 1
Auditable Machine: https://lm-n.github.io/auditableMachine/
Teachable Machine: https://teachablemachine.withgoogle.com/
Motores de búsqueda: https://docs.google.com/presentation/d/19KaeuDQLhbsO_ilabXv--ofGQcHdjKHPa-P3IYR5upc/copy
TikTok: https://docs.google.com/spreadsheets/d/1NoDlVV_57upapbKwyRzUBrhSPZzM8vvIFAXsQ0G-5D0/copy
Currícula: https://drive.google.com/drive/u/0/folders/1BpLYtqedxhgS-k5kozMW90hxfneGMbBb
Más recursos:
Sobre pensamiento computacional e IA:
Tedre, M., Denning, P., & Toivonen, T. (2021, November). CT 2.0. In Proceedings of the 21st Koli Calling International Conference on Computing Education Research (pp. 1-8). https://dl.acm.org/doi/pdf/10.1145/3488042.3488053
Sobre auditoría de IA con jóvenes:
Morales-Navarro, L., Kafai, Y. B., Vogelstein, L., Yu, E., & Metaxa, D. (2025, April). Learning about algorithm auditing in five steps: Scaffolding how high school youth can systematically and critically evaluate machine learning applications. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 28, pp. 29186-29194). https://ojs.aaai.org/index.php/AAAI/article/view/35192
Morales-Navarro, L., Gan, M. A., Yu, E., Vogelstein, L., Kafai, Y., & Metaxa, D. (2025). Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model. Proceedings of the ACM on Human-Computer Interaction, 9(7), 1-29. https://dl.acm.org/doi/pdf/10.1145/3757620
Solyst, Jaemarie, Cindy Peng, Wesley Hanwen Deng, Praneetha Pratapa, Amy Ogan, Jessica Hammer, Jason Hong, and Motahhare Eslami. "Investigating Youth AI Auditing." In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, pp. 2098-2111. 2025. https://dl.acm.org/doi/pdf/10.1145/3715275.3732142
Sobre creación de modelos
Luis Morales-Navarro, Daniel J. Noh, Lucianne Servat, Carly Netting, Yasmin Kafai, and Danaé Metaxa. 2026. Building to Understand: Examining Teens’ Technical and Socio-Ethical Pieces of Understanding in the Construction of Small Generative Language Models. In Proceedings of the 25th Interaction Design and Children Conference (IDC ’26), June 22–25, 2026, Brighton, United Kingdom. ACM, New York, NY, USA, 19 pages. https://dl.acm.org/doi/pdf/10.1145/3773077.3806107
Morales-Navarro, L., Noh, D. J., & Kafai, Y. B. (2025). High school students building babyGPTs: Engaging in data practices and addressing ethical issues through the construction of generative language models. International Journal of Child-Computer Interaction, 100769. https://www.sciencedirect.com/science/article/pii/S2212868925000509
Morales-Navarro, L., Kafai, Y., Konda, V., & Metaxa, D. (2024, June). Youth as peer auditors: Engaging teenagers with algorithm auditing of machine learning applications. In Proceedings of the 23rd Annual ACM Interaction Design and Children Conference (pp. 560-573). https://dl.acm.org/doi/pdf/10.1145/3628516.3655752