Gender equality in Swedish AI policies. What's the problem represented to be

Dados Bibliográficos

ID5154597
AutoresMalin Rönnblom (0000-0002-5249-9056, Karlstad University, autor correspondente), Vanja Carlsson (0000-0001-8214-6828, University of Gothenburg), Andreas Öjehag‐pettersson (0000-0003-4820-278X, Karlstad University)
Ano2023
Volume40
Fascículo5
Páginas688-704
Data de publicação2023-09-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoReview of Policy Research (JOURNAL)
Identificadores do periódicoISSN: 1541-132X • E-ISSN: 1541-1338
EditoraWiley (PUBLISHER • GB)
DOI10.1111/ropr.12547
OpenAlexW4327700368
IdiomaEN
Citações recebidas7
Referências citadas22

Over the past few decades, Sweden has established itself as a "world leader" in gender equality. Alongside this development, Swedish politicians have also initiated ambitious plans that aim to establish the country as "world class" in terms of digitalization. International research shows that women and racialized groups are in a minority in the design processes, that AI facial recognition systems are built with white male faces as the norm, and that digital tools replicate racial injustices. In this paper, we are interested in if, and if so how, gender equality is articulated and thus filled with meaning in national policies on AI and digitalization. The overall aim is to discuss the potential of gender (equality) mainstreaming to challenge systems of privilege in the implementation of AI systems in the public sector. The paper analyses how gender equality is filled with meaning in national policy documents on AI and gender equality. The main findings show that gender equality is turned into a question of lack of knowledge and information, which in turn blocks out an understanding of gender equality as something that is related to gendered power relations

Gender equality · Gender mainstreaming · Meaning (existential · Norm (philosophy · Political economy · Political science · Power (physics · Privilege (computing · Sociology · Gender Politics and Representation · Gender Studies · Innovation, Technology, and Society · Law · Psychology · Social Media and Politics