Version v1

Racial Bias in AI-Generated Images

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Yang, Yiran

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.8

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

ICPSR - Interuniversity Consortium for Political and Social Research

Assigned Domain

Subfield

Epidemiology

Field

Medicine

Domain

Health Sciences

Confidence Score

65%

Source

Open Alex

Keywords

psychologyWhite supremacybias

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00