Designing for Public Enlightenment: Enhancing Generative AI Literacy on Socio-technical Aspects in Informal Learning Spaces

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Authors: Chengzhi Zhang
Cited by: 1
References: 17

Abstract

Generative AI presents a critical paradox: widespread public use coexists with a significant “literacy gap” in understanding its true socio-technical perils and benefits, including misinformation, bias, and environmental costs. This research addresses this gap by developing and evaluating interactive learning interventions for informal settings, such as museums, libraries, and parks. Through a mixed-methods approach, the research will identify public misconceptions, develop a pedagogical framework for AI literacy, and create tangible and embodied exhibits to foster more informed public engagement with generative AI. The goal is to empower users to engage responsibly with generative AI, moving beyond superficial use to a more democratic and informed approach.

Fields of Study & Subjects

AI in Service Interactions Teaching and Learning Programming Ethics and Social Impacts of AI

Publication details

Journal / source
Proceedings of the Twentieth International Conference on Tangible, Embedded, and Embodied Interaction
Publisher
ACM
Pages
1–4
Publication date
7 March 2026