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