Jeongone (Joh) Seo, Diversity in Data Graduate Specialist, explored AI Literacy with a diversity lens, in connection with immigrants, particularly the Korean community in New Jersey, through the following presentations in Spring 2025.
This workshop examines how diverse data and cultural perspectives shape AI literacy, with particular attention to immigrant communities. Participants discuss foundational frameworks, explore unique challenges and opportunities, and consider how cultural context influences AI education and engagement strategies.
Designing Inclusive AI Literacy Research: Methods, Ethics, and Critical Reflection on Diversity
This session focuses on research designs and ethical considerations for studying AI literacy among diverse populations. Participants explore inclusive methodologies, reflect on bias and power dynamics, and discuss approaches to ensuring meaningful representation. Practical strategies are shared for fostering equitable and culturally sensitive research practices.
Uncovering the Findings: A Data-Diverse Perspective on AI Literacy in Korean Immigrant Families
In this culminating workshop, participants review key research findings on AI literacy within Korean immigrant families, considering how cultural context and data diversity affect AI adoption and understanding. The discussion highlights implications for designing inclusive, culturally responsive AI literacy initiatives, and inform future research and policy directions.