Gender and Artificial Intelligence: Challenges and Imminent Possibilities

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.

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