AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias
Julia C. Ahrend, Björn Döge, Tom M Duscher, Dario Rodighiero
公開日: 2025/9/3
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.