The phenomenon of deep nudes—a new threat to children and adults
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15410%2F25%3A73631173" target="_blank" >RIV/61989592:15410/25:73631173 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00146-025-02425-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20250701&utm_content=10.1007%2Fs00146-025-02425-4#citeas" target="_blank" >https://link.springer.com/article/10.1007/s00146-025-02425-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20250701&utm_content=10.1007%2Fs00146-025-02425-4#citeas</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00146-025-02425-4" target="_blank" >10.1007/s00146-025-02425-4</a>
Alternative languages
Result language
angličtina
Original language name
The phenomenon of deep nudes—a new threat to children and adults
Original language description
The article explores the misuse of artificial intelligence (AI) to generate pornographic images, including child pornography, through so-called deep nudes—applications that create realistic nude images from photographs without the consent of individuals. This phenomenon has serious psychological and social impacts on victims, especially children, who can become targets of cyberbullying, blackmail and other forms of abuse. The paper presents the results of a survey on the use of artificial intelligence among Czech primary and secondary school students (2024), which involved over 27,336 respondents. Deep nude photos with the help of AI were created by 2.77% of Czech primary and secondary school pupils. Deep nude is more likely to be generated by boys, who are 3.56 times more likely to generate a deep nude photo than girls. There are also differences based on age and type of school, but these differences are negligible.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
AI & Society
ISSN
0951-5666
e-ISSN
1435-5655
Volume of the periodical
2025
Issue of the periodical within the volume
nečíslováno
Country of publishing house
DE - GERMANY
Number of pages
20
Pages from-to
"nečíslováno"
UT code for WoS article
001520728100001
EID of the result in the Scopus database
2-s2.0-105009539400