The invisible women: uncovering gender bias in AI-generated images of professionals-Reference-Cited by-同舟云学术

The invisible women: uncovering gender bias in AI-generated images of professionals

Published:2023-10-03 Issue:8 Volume:23 Page:4370-4375
ISSN:1468-0777
Container-title:Feminist Media Studies
language:en
Short-container-title:Feminist Media Studies

Author:

Gorska Anna M.¹^ORCID,Jemielniak Dariusz²^ORCID

Affiliation:

1. Human Resources Department, Kozminski University, Warsaw, Poland

2. Management in Networked and Digital Environments (MINDS) Kozminski University, Warszawa, Poland

Publisher

Informa UK Limited

Subject

Visual Arts and Performing Arts,Communication,Gender Studies

Link

https://www.tandfonline.com/doi/pdf/10.1080/14680777.2023.2263659

Reference18 articles.

1. Buolamwini, Joy, and Timnit. Gebru 2018. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification”. Proceedings of the 1st Conference on Fairness, Accountability and Transparency. PMLR, New York City, NY, 81: 77–91.

2. Design Justice

3. Data Feminism

4. Brothers and broken dreams: Men, masculinity, and emotions in platform capitalism

5. Gender Stereotypes

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