Bridging Responsible AI and AI Literacy: The TEACH-RAI Framework and Toolkit for Education, Design, and Research

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Authors: Shi Ding, Brian Magerko
Cited by: 1
References: 16

Abstract

The rapid growth of generative AI in education has deepened the need for both responsible AI practices and AI literacy. However, these domains are often addressed separately, leaving a gap in guidance for educators, designers, developers, and researchers. This paper presents a conceptual framework that connects responsible AI principles with AI literacy and introduces its application through a practical checklist as a toolkit, with a hypothetical case example, which offers actionable prompts for responsible use of AI in educational and design contexts. Together, the TEACH-RAI framework and toolkit aim to provide both theoretical grounding and accessible resources to foster responsible engagement with AI in the educational context.

Fields of Study & Subjects

Ethics and Social Impacts of AI Teaching and Learning Programming Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2
Publisher
ACM
Pages
1295–1296
Publication date
13 February 2026