AI Audit: A Card Game to Reflect on Everyday AI Systems
Project Overview
The document explores the integration of generative AI in education, highlighting its role in fostering AI literacy among K-12 students through innovative tools like the 'AI Audit' card game. This game is designed to engage students in critical discussions about the ethical implications and societal impacts of AI systems. By encouraging players to reflect on the potential harms and responsible design of AI technologies, the game not only promotes a fun and interactive learning experience but also aims to cultivate awareness and understanding of AI ethics. This initiative is part of a larger effort to enhance educational practices related to AI, ensuring that young learners are equipped with the necessary knowledge to navigate the complexities of AI technologies in their future. The findings suggest that such educational tools can significantly contribute to developing informed, responsible users of AI, ultimately fostering a generation that is not only tech-savvy but also ethically conscious.
Key Applications
AI Audit - a competitive card game for K-12 students
Context: Middle and high school classrooms, aimed at teaching AI literacy and ethics
Implementation: Developed as an analog card game, designed for classroom deployment with accompanying educational materials
Outcomes: Facilitates critical discussions about AI ethics, raises awareness of societal implications, and engages students in learning about responsible AI design
Challenges: Initial playtesting revealed challenges in game mechanics, terminology complexity, and color differentiation for cards
Implementation Barriers
Gameplay Complexity
Players faced issues with gameplay mechanics, such as redundancy of harm cards and terminology understanding.
Proposed Solutions: Simplifying language on cards, adding examples, and allowing card exchanges during gameplay.
Content Understanding
Some players struggled with understanding specific AI-related terms and the implications of AI systems.
Proposed Solutions: Providing clearer explanations and examples in the gameplay guide.
Accessibility
Color differentiation on cards was difficult for some players, potentially affecting engagement.
Proposed Solutions: Making card colors more distinct and incorporating different shapes for easier identification.
Project Team
Safinah Ali
Researcher
Vishesh Kumar
Researcher
Cynthia Breazeal
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Safinah Ali, Vishesh Kumar, Cynthia Breazeal
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai