arXiv (All)
open access
Generative AI Produces and Transmits Beauty Bias
Societies reward people judged to be attractive by standards intertwined with gender and race. In this paper, we examine if and how generative AI may contribute to these dynamics. We audited 27 text-to-image generators released between 2022 and 2026 using simple prompts that never mention attractive
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- EEG and Eye-Tracking Evidence That AI Disclosure Shapes Face Evaluation#1234549
- EEG and Eye-Tracking Evidence That AI Disclosure Shapes Face Evaluation#1227397
- Bias in Hiring: How Appearance, Education, and Gender Influence Interview Opportunities for Human and AI Recruiters#124697
- Bias in Hiring: How Appearance, Education, and Gender Influence Interview Opportunities for Human and AI Recruiters#124696
- Machine Neuroaesthetics Is Advancing Computational Creativity#203964
Record · ID 1386528
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive