Comparing Demographic Representation in AI-Generated and Stock Images of Occupations

This paper analyzes how AI-generated images from DALL·E 3 and stock images from Getty Images compare in their representation of race, gender, and age across various occupations. The researcher randomly selected ten occupations from the O*NET Database, generating 30 images from DALL·E 3 and selecting 30 images from Getty Images for each occupation. Following this, the researcher categorized each image based on its race, gender, and age. The results showed significant difference in the portrayal of race and gender between the image sources, with DALL·E 3 depicting more white male individuals than Getty Images. However, the researcher found little difference in the representation of age between DALL·E 3 and Getty Images. This study highlights the extent to which AI models like DALL·E 3 might reflect or amplify societal biases present in their training data–and what steps are needed to mitigate this issue.

Authors

Publication Details

Journal
Journal of Student Research
Published
2024-08-31
DOI
https://doi.org/10.47611/jsr.v13i3.2628
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
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article

Comparing Demographic Representation in AI-Generated and Stock Images of Occupations

Tom Flanagan, Kabir Goklani
1 citations
Journal of Student Research
Impact of AI and Big Data on Business and Society
0.49
article

Comparing Demographic Representation in AI-Generated and Stock Images of Occupations

Tom Flanagan, Kabir Goklani
article en
1 citations

Abstract

This paper analyzes how AI-generated images from DALL·E 3 and stock images from Getty Images compare in their representation of race, gender, and age across various occupations. The researcher randomly selected ten occupations from the O*NET Database, generating 30 images from DALL·E 3 and selecting 30 images from Getty Images for each occupation. Following this, the researcher categorized each image based on its race, gender, and age. The results showed significant difference in the portrayal of race and gender between the image sources, with DALL·E 3 depicting more white male individuals than Getty Images. However, the researcher found little difference in the representation of age between DALL·E 3 and Getty Images. This study highlights the extent to which AI models like DALL·E 3 might reflect or amplify societal biases present in their training data–and what steps are needed to mitigate this issue.

Journal of Student ResearchVol. 13(3)
Openalex Percentile: Top 27%
Impact of AI and Big Data on Business and Society
0.49
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