Supercharged by AI
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.
Authors
- María de los Ángeles Briones Rojas (ORCID: https://orcid.org/0000-0002-8528-6399)
- Andrea Benedetti
- Michele Mauri
- Elena Aversa
Institutions
- Politecnico di Milano (IT)
Publication Details
- Journal
- DIID
- Published
- 2026-02-09
- DOI
- https://doi.org/10.30682/diid8725g
- Primary Topic
- Literacy, Media, and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00