Designing Transformational Games to Support Socio-ethical Reasoning about Generative AI
This work addresses the problem of making AI literacy engaging for young people, though it is incremental as it builds on existing educational game approaches.
The paper tackled the challenge of engaging youth in learning about generative AI and ethics by designing two transformational games, Diversity Duel and Secret Agent, which integrated GenAI tools with gameplay elements like peer evaluation and social deduction. The result showed that participants recognized and debated bias in GenAI outputs, connected these patterns to real-world inequities, and developed nuanced understandings of bias, with findings suggesting such games can foster critical AI literacy.
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.