Gender inequality in the sphere of artificial intelligence: Theoretical approach
Abstract
Artificial Intelligence (AI) sector, like the other sectors, is marked by the minority presence of women within these entities. According to the UNESCO, the percentage of technical employees in large enterprises of Machine Learning who are women is 20%, the percentage of researchers in artificial intelligence in the world who are women is 12%, and the percentage of professional software developers who are women is only 6%. In other words, the proportion of gender in the practice of the professions of the AI remains highly unequal. Therefore, it is now crucial to review the causes and consequences of these gender inequalities. This paper aims to develop a theoretical framework for managing human resources in the digital environment and artificial intelligence, aiming to identify the causes and consequences of gender inequality in the AI sector. The study will focus on the role of women in AI. Additionally, it will explore potential solutions to this issue, utilizing an analytical lens grounded in existing literature to gain a deeper understanding of gender disparities in the AI sphere. Nevertheless, this theoretical study has a limitation in its methodology, relying exclusively on a literature review. To better understand the depth of gender inequality within the sector of AI, more empirical case studies are needed for a more comprehensive understanding.
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DOI: https://doi.org/10.32629/jai.v7i3.1394
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