Year: 2026
Type: conference-paper
Abstract: There is an increasing need for young people to become critically AI literate, understanding not only how AI works but also its limitations and ethical nuances.Yet, designing learning experiences that make such complex, serious topics engaging remains a challenge.This paper explores transformational games as a promising approach for supporting youth learning about generative AI (GenAI) and ethics.We designed and implemented two games, Diversity Duel and Secret Agent, that integrate GenAI tools with gameplay elements.This work investigates how the games' elements: (1) peer evaluation, (2) constraint-based creativity, and (3) social deduction supported socio-ethical reasoning about GenAI.Participants recognized and debated bias in GenAI outputs, connected these patterns to real-world inequities, and developed nuanced understandings of bias.Participants further came to see how prompt design shapes AI behavior.Our findings suggest that group-based games with these elements can support fostering critical AI literacy.
Source: Proceedings.
Institution: University of Washington
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
Funder: University of Washington
OpenAlex ID: W7148976077
