AI generates mainly White, male chemists

Artificial intelligence image generators have developed a reputation for bias. For instance, Bloomberg reported that when prompted to generate images of different professions, the AI model Stable Diffusion mainly created White men , particularly in higher-paying occupations. Valeria Stepanova, a professor of chemistry at Viterbo University, wanted to know if this observation applied to her scientific discipline. “I’ve always been interested in how diversity is represented in my field,” Stepanova says. So she and her colleagues tested four AI image generators—Adobe Firefly, DALL-E 2, Craiyon, and DreamStudio—providing each with carefully engineered prompts pertaining to chemistry-specific occupations. The researchers then classified the gender and race of 200 AI-generated chemists, giving each an assignment of male or female and identifying each as African American, American Indian, Asian and Pacific Islander, Hispanic, or White. The researchers scanned every image for visible signs of disability. Stepanova and her team found that, together, the AI

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Publication Details

Journal
C&EN Global Enterprise
Published
2024-11-11
DOI
https://doi.org/10.1021/cen-10235-polcon2
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

AI generates mainly White, male chemists

Krystal Vasquez
C&EN Global Enterprise
Machine Learning in Materials Science
article

AI generates mainly White, male chemists

Krystal Vasquez
article en

Abstract

Artificial intelligence image generators have developed a reputation for bias. For instance, Bloomberg reported that when prompted to generate images of different professions, the AI model Stable Diffusion mainly created White men , particularly in higher-paying occupations. Valeria Stepanova, a professor of chemistry at Viterbo University, wanted to know if this observation applied to her scientific discipline. “I’ve always been interested in how diversity is represented in my field,” Stepanova says. So she and her colleagues tested four AI image generators—Adobe Firefly, DALL-E 2, Craiyon, and DreamStudio—providing each with carefully engineered prompts pertaining to chemistry-specific occupations. The researchers then classified the gender and race of 200 AI-generated chemists, giving each an assignment of male or female and identifying each as African American, American Indian, Asian and Pacific Islander, Hispanic, or White. The researchers scanned every image for visible signs of disability. Stepanova and her team found that, together, the AI

C&EN Global EnterpriseVol. 102(35)
Openalex Percentile: Top 87%
Machine Learning in Materials Science
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