„AI, wygeneruj obraz osoby z niepełnosprawnością”. (Od)tworzenie społecznych reprezentacji niepełnosprawności z wykorzystaniem narzędzi generatywnej sztucznej inteligencji
“AI, generate an image of a disabled person”. (Re)creating representations of disability with generative AI tools
Author(s): Iwona Leonowicz-Bukała, Monika Struck-Peregończyk, Mikołaj Birek, Katarzyna DudzińskaSubject(s): Social Sciences, Sociology, Social psychology and group interaction
Published by: Wydawnictwo Uniwersytetu Łódzkiego
Keywords: generative artificial intelligence; AI; disability; stereotypes; social communication; bias
Summary/Abstract: The issue of the importance of representations of disability in various media has been frequently raised by numerous scholars, who proved that such mass media representations can exert a significant influence on the perception of disabled people in society. However, the constant change and development of new communication technologies pose new challenges and offer new chances to the issue of presenting adequate, realistic images of disabled people. The article describes generative artificial intelligence, as one of the most rapidly developing areas, which significantly impacts social communication both in professional media and social platforms. The easy online access to AI-based tools creates new challenges and uncertainties regarding its possible uses in creating widespread online content. While AI can increase accessibility and improve the quality of life of disabled people, its use may also result in perpetuating negative social representations of this group. In this paper, we attempt to review the existing problems and discussions on this topic together with the results of our research and answer the questions concerning the possible mechanisms of reproducing bias towards disability through content generated with various AI-based tools. Nowhere in the article was AI used in the writing process.
Journal: Acta Universitatis Lodziensis. Folia Sociologica
- Issue Year: 2025
- Issue No: 92
- Page Range: 31-58
- Page Count: 28
- Language: Polish