Supercharged by AI

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Authors: Elena Aversa, Michele Mauri, María de los Ángeles Briones Rojas, Andrea Benedetti
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Abstract

This article examines how Information Design can support Media and Information Literacy (MIL), with a focus on Artificial Intelligence (AI) literacy in informal learning contexts such as libraries. Drawing from MIL research and case studies, we identify three methodological approaches: data-mediated design, diagrammatic representation, and scalability of reproduction, enabling low-tech and easily localizable resources. These principles were applied in Supercharged by AI, an exhibition that travelled across ten European countries and explored how AI shapes online experiences. We discuss two artefacts to demonstrate how this framework can make AI literacy accessible, adaptable and engaging,across diverse audiences. Early findings indicate strong potential for scalability and relevance, while also revealing areas for improvement, particularly in relation to information density and the need for guided mediation.

Fields of Study & Subjects

Library Science and Information Literacy Literacy Media and Education Library Science and Administration

Publication details

Journal / source
DIID
Issue
87
Pages
98–113
Publication date
9 February 2026
Language
EN