Gender and Artificial Intelligence: Challenges and Imminent Possibilities

Introduction. The present work addresses gender-related aspects in the development of Artificial Intelligence (AI). It begins by conceptualising AI and situating its context and historical development, as a preliminary step to describing the current and future gender issues related to AI. Objective. To define the main areas of study in gender and AI, including the unequal participation of women in the sector, as well as data and algorithmic biases that may lead to gender biases in outcomes. Methodology. This study has employed qualitative content analysis, given that the topic is emerging and there are no established theoretical or paradigmatic frameworks on which to base other types of research. Results. The study outlines key areas to consider for achieving responsible and ethical AI development, incorporating gender aspects into the future development of this technology. Findings. The study describes the main existing problems and highlights future challenges to address gender biases in AI. These challenges include explainability, the responsible and ethical development of AI systems, and accountability. Additionally, other challenges are presented, such as enhancing the education of women in STEM fields and their incorporation into the AI industry to avoid gender biases in algorithm development teams.

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Publication Details

Journal
Investigaciones Feministas
Published
2024-12-30
DOI
https://doi.org/10.5209/infe.98150
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Gender and Artificial Intelligence: Challenges and Imminent Possibilities

Orlando Lima Rua, Mar Souto-Romero, Kiyoshi Murata, Mario Arias-Oliva
Investigaciones Feministas
Ethics and Social Impacts of AI
article

Gender and Artificial Intelligence: Challenges and Imminent Possibilities

Orlando Lima Rua, Mar Souto-Romero, Kiyoshi Murata, Mario Arias-Oliva
article en

Abstract

Introduction. The present work addresses gender-related aspects in the development of Artificial Intelligence (AI). It begins by conceptualising AI and situating its context and historical development, as a preliminary step to describing the current and future gender issues related to AI. Objective. To define the main areas of study in gender and AI, including the unequal participation of women in the sector, as well as data and algorithmic biases that may lead to gender biases in outcomes. Methodology. This study has employed qualitative content analysis, given that the topic is emerging and there are no established theoretical or paradigmatic frameworks on which to base other types of research. Results. The study outlines key areas to consider for achieving responsible and ethical AI development, incorporating gender aspects into the future development of this technology. Findings. The study describes the main existing problems and highlights future challenges to address gender biases in AI. These challenges include explainability, the responsible and ethical development of AI systems, and accountability. Additionally, other challenges are presented, such as enhancing the education of women in STEM fields and their incorporation into the AI industry to avoid gender biases in algorithm development teams.

Investigaciones FeministasVol. 15(2)
Universidad Complutense de Madrid (ES), Meiji University (JP), Universidad Rey Juan Carlos (ES), Polytechnic Institute of Porto (PT)
Universitat de Barcelona, Universitat Rovira i Virgili, Japan Society for the Promotion of Science
Openalex Percentile: Top 65%
Ethics and Social Impacts of AI
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Gender and Artificial Intelligence: Challenges and Imminent Possibilities — Orlando Lima Rua, Mar Souto-Romero, et al. · Investigaciones Feministas (2024) | TGRS Research Map | TGRS