3 papers
cs.AI2026
Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems
Aleksandra Urman, Elsa Lichtenegger, Salima Jaoua +7
Commercial text-to-image systems silently revise user prompts before generating images, a step users typically cannot disable or even see. Yet, existing audits of cultural bias exa…
cs.CL2025
Auditing Google's AI Overviews and Featured Snippets: A Case Study on Baby Care and Pregnancy
Desheng Hu, Joachim Baumann, Aleksandra Urman +4
Google Search increasingly surfaces AI-generated content through features like AI Overviews (AIO) and Featured Snippets (FS), which users frequently rely on despite having no contr…
cs.CY2025
Visibility Allocation Systems: How Algorithmic Design Shapes Online Visibility and Societal Outcomes
Stefania Ionescu, Robin Forsberg, Elsa Lichtenegger +4
Throughout application domains, we now rely extensively on algorithmic systems to engage with ever-expanding datasets of information. Despite their benefits, these systems are ofte…