AI Audit: A Card Game to Reflect on Everyday AI Systems
Safinah Ali, Vishesh Kumar, Cynthia Breazeal

TL;DR
AI Audit is a competitive card game designed to teach middle and high school students about AI ethics by simulating AI startup development and ethical decision-making, fostering responsible AI literacy through engaging gameplay.
Contribution
This work introduces a novel game-based learning tool for AI ethics education, including design, classroom resources, and initial testing insights.
Findings
Players engaged with ethical considerations during gameplay
The game effectively promotes discussions on AI harms and mitigation
Early playtests show positive student engagement and understanding
Abstract
An essential element of K-12 AI literacy is educating learners about the ethical and societal implications of AI systems. Previous work in AI ethics literacy have developed curriculum and classroom activities that engage learners in reflecting on the ethical implications of AI systems and developing responsible AI. There is little work in using game-based learning methods in AI literacy. Games are known to be compelling media to teach children about complex STEM concepts. In this work, we developed a competitive card game for middle and high school students called "AI Audit" where they play as AI start-up founders building novel AI-powered technology. Players can challenge other players with potential harms of their technology or defend their own businesses by features that mitigate these harms. The game mechanics reward systems that are ethically developed or that take steps to…
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Videos
Taxonomy
TopicsTeaching and Learning Programming · Educational Games and Gamification · Ethics and Social Impacts of AI
