Mapping gender and geographic diversity in artificial intelligence research: Editor representation in leading computer science journals.
Acta Radiol Open
; 12(10): 20584601231213740, 2023 Oct.
Article
en En
| MEDLINE
| ID: mdl-38034076
ABSTRACT
Background:
The growing role of artificial intelligence (AI) in healthcare, particularly radiology, requires its unbiased and fair development and implementation, starting with the constitution of the scientific community.Purpose:
To examine the gender and country distribution among academic editors in leading computer science and AI journals. Material andMethods:
This cross-sectional study analyzed the gender and country distribution among editors-in-chief, senior, and associate editors in all 75 Q1 computer science and AI journals in the Clarivate Journal Citations Report and SCImago Journal Ranking 2022. Gender was determined using an open-source algorithm (Gender Guesser™), selecting the gender with the highest calibrated probability.Result:
Among 4,948 editorial board members, women were underrepresented in all positions (editors-in-chief/senior editors/associate editors 14%/18%/17%). The proportion of women correlated positively with the SCImago Journal Rank indicator (ρ = 0.329; p = .004). The U.S., the U.K., and China comprised 50% of editors, while Australia, Finland, Estonia, Denmark, the Netherlands, the U.K., Switzerland, and Slovenia had the highest women editor representation per million women population.Conclusion:
Our results highlight gender and geographic disparities on leading computer science and AI journal editorial boards, with women being underrepresented in all positions and a disproportional relationship between the Global North and South.
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MEDLINE
Idioma:
En
Revista:
Acta Radiol Open
Año:
2023
Tipo del documento:
Article