Racial Bias in AI-Generated Images

Dataset

DOI

This file is supplementary material for the manuscript Racial Bias in AI-Generated Images, which has been submitted to a peer-reviewed journal.This dataset/paper examined the image-to-image generation accuracy (i.e., the original race and gender of a person’s image were replicated in the new AI-generated image) of a Chinese AI-powered image generator. We examined the image-to-image generation models transforming the racial and gender categories of the original photos of White, Black and East Asian people (N =1260) in three different racial photo contexts: a single person, two people of the same race, and two people of different races. There are original images (e.g., WW1), AI-generated images (e.g., AM1_1, AM1_2, AM1_3), and SPSS files (Yang 230801 Racial bias in Meitu_Accuracy Paper.sav) in this dataset.

Identifier
DOI	https://doi.org/10.17026/SS/O9M6VR
Metadata Access	https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/SS/O9M6VR

Provenance
Creator	Y. Yang
Publisher	DANS Data Station Social Sciences and Humanities
Contributor	Yang, Yiran
Publication Year	2024
Rights	CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	Yang, Yiran (Radboud University)

Representation
Resource Type	Dataset
Format	image/jpeg; text/tab-separated-values
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Version	1.1
Discipline	Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences