Racial Bias in AI-Generated Images

Principal Investigator(s):  View help for Principal Investigator(s) Yiran Yang

Version:  View help for Version V2

Name File Type Size Last Modified
Yang 230801 Ethnic recognition bias in Meitu_Yiran_full.sav application/x-spss-sav 60.5 KB 04/10/2024 09:42:AM

File Citation: 

Yang, Yiran. Racial Bias in AI-Generated Images: Yang 230801 Ethnic recognition bias in Meitu_Yiran_full.sav. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-09-17. https://doi.org/10.3886/E200223V2-169341

To view the citation for the overall project, see http://doi.org/10.3886/E200223V2.

File Description

Summary:  View help for Summary This file is supplementary material for the manuscript Racial Bias in AI-Generated Images. 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.

Scope of File

Geographic Coverage:  View help for Geographic Coverage China
Collection Date(s):  View help for Collection Date(s) 7/16/2023 – 7/23/2023
Data Type(s):  View help for Data Type(s) experimental data; images: photographs, drawings, graphical representations

Methodology

Data Source:  View help for Data Source The original photos used in this study were sourced from the website https://www.pexels.com, which has an extensive collection of photos and permits the use and modification of photos for research purposes. The AI-generated images were generated by Meitu application. Each original photo generated three AI-generated images.

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Variable Count: 32

Case Count: 1260

Published Versions

V2 [2024-09-17]

V1 [2024-04-10]

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