Co-Creating with the Multi-Lingual Communities

Learn how to design AI tools with—not for—the communities who will use them. This session introduces practical, repeatable methods for co-designing AI solutions alongside multilingual and culturally diverse communities. Drawing on examples such as the AI-EP project and the State of New Jersey’s statewide multilingual translation initiatives, we’ll break down how to incorporate community perspectives at every stage of the development process—from identifying real-world problems to collecting training data to testing and refining AI-enabled tools.

Participants will explore concrete frameworks for inclusive design, practice techniques for gathering community insights, and learn how to structure iterative feedback cycles that lead to more accurate, trustworthy, and culturally grounded AI outcomes. We’ll also examine emerging approaches for real-time translation and culturally responsive content adaptation that go beyond literal accuracy to capture nuance, meaning, and context.

Throughout the session, participants will share their own projects and challenges while gaining actionable how-to’s, templates, and take-aways they can immediately apply to their work.