AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias
arXiv:2509.03071
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.
Pictorial for IEEE VIS Art Program 2025 (VISAP). Theme: Collective Care. 15 pages, 38 figures