Neural network as a mirror of social attitudes: analysis of distortions in generative images
The article is devoted to the consideration of neural network generative technologies as a marker of social stereotypes and attitudes. The aim of the research – approbation of generative artificial intelligence (hereinafter referred to as AI) as a method of sociological research of social stereotype...
Saved in:
Main Authors: | A. G. Tertyshnikova, U. O. Pavlova, M. D. Starovoytova |
---|---|
Format: | Article |
Language: | Russian |
Published: |
State University of Management
2025-01-01
|
Series: | Цифровая социология |
Subjects: | |
Online Access: | https://digitalsociology.guu.ru/jour/article/view/343 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Power of Perspective. Discrimination Against Men
by: Virág Véber
Published: (2021-04-01) -
Gender Stereotypes and Bias in Nursing: A Qualitative Study in Tanzania
by: Racheal Mukoya Masibo, et al.
Published: (2025-01-01) -
Démêler les effets des stéréotypes et le genre grammatical dans le biais masculin : une approche expérimentale
by: Célia Richy, et al.
Published: (2021-07-01) -
AI and Language: New Forms for Old Discriminations? A Case Study in Google Translate and Canva
by: Martina Mattiazzi
Published: (2025-01-01) -
Facial dominance overrides gender in children’s stereotypes about intelligence
by: Ryno Kruger, et al.
Published: (2025-01-01)