AI-Generated Images for Representing Individuals – Navigating the Thin Line Between Care and Bias
Julia C. Ahrend -
Björn Döge -
Tom Duscher -
Dario Rodighiero -
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Room: Room 1.14
Keywords
Visual Science Communication; Interactive Information Design; AI-Generated Images
Abstract
This research discusses the figurative tensions that arise when using portraits to represent individuals behind a dataset. In the broader effort to communicate European data related to depression, the Kiel Science Communication Network (KielSCN) team attempted to engage a wider audience by combining interactive data graphics with AI-generated images of people. This article examines the project’s decisions and results, reflecting on the reaction from the audience when information design incorporates figurative representations of individuals within the data.