{"ID":2874910,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.03071","arxiv_id":"2509.03071","title":"AI-Generated Images for representing Individuals: Navigating the Thin Line Between Care and Bias","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.","short_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 gr...","url_abs":"https://arxiv.org/abs/2509.03071","url_pdf":"https://arxiv.org/pdf/2509.03071v1","authors":"[\"Julia C. Ahrend\",\"Björn Döge\",\"Tom M Duscher\",\"Dario Rodighiero\"]","published":"2025-09-03T07:08:52Z","proceeding":"cs.CY","tasks":"[\"cs.CY\"]","methods":"[]","has_code":false}