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