Designing Transformational Games to Support Socio-ethical Reasoning about Generative AI

TL;DR

This paper presents two transformational games, Diversity Duel and Secret Agent, designed to enhance youth understanding of generative AI and ethics through engaging gameplay that promotes critical socio-ethical reasoning.

Contribution

It introduces novel game-based learning experiences that integrate GenAI tools to support socio-ethical reasoning and AI literacy among young learners.

Findings

Participants identified and debated bias in GenAI outputs.

Participants connected biases to real-world inequities.

Participants understood how prompt design influences AI behavior.

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.