"How Can I Code A.I. Responsibly?": The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I

This paper presents a human-subject research study evaluating a computational action curriculum that teaches 101 K-12 students (ages 9-18) to evaluate and create socially responsible AI through structured reflection and an impact matrix tool. The study measured students' perceptions of AI ethics and their ability to analyze positive and negative impacts of AI technologies using pre-post questionnaires and open-ended responses.

Teaching young people about artificial intelligence (A.I.) is recognized globally as an important education effort by organizations and programs such as UNICEF, OECD, Elements of A.I., and AI4K12. A common theme among K-12 A.I. education programs is teaching how A.I. can impact society in both positive and negative ways. We present an effective tool that teaches young people about the societal impact of A.I. that goes one step further: empowering K-12 students to use tools and frameworks to crea

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