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arXiv · 2509.03071

AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias

Julia C. Ahrend·Björn Döge·Tom M Duscher·Dario Rodighiero
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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.

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Julia C. Ahrend, Björn Döge, Tom M Duscher, Dario Rodighiero. 2025-09-03. AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias. https://arxiv.org/abs/2509.03071

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