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Main Authors: Ahrend, Julia C., Döge, Björn, Duscher, Tom M, Rodighiero, Dario
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.03071
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author Ahrend, Julia C.
Döge, Björn
Duscher, Tom M
Rodighiero, Dario
author_facet Ahrend, Julia C.
Döge, Björn
Duscher, Tom M
Rodighiero, Dario
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2509_03071
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias
Ahrend, Julia C.
Döge, Björn
Duscher, Tom M
Rodighiero, Dario
Computers and Society
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.
title AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias
topic Computers and Society
url https://arxiv.org/abs/2509.03071