AI and Women

Between Automation and Meaningful Work

Abstract

This paper conducts a qualitative, interdisciplinary literature review to investigate the concept of meaningful work in the context of Artificial Intelligence (AI) and its intersection with gender dynamics. It draws on insights from economics, philosophy, social studies, and gender studies to analyze how AI could deepen existing gender inequalities in the workforce, particularly through job displacement and the undervaluation of roles traditionally held by women. A significant concern is the increasing role of private sector interests in AI development, where a focus on profit may overshadow the societal importance of care work. The analysis emphasizes the importance of recognizing the limitations of current AI technologies while advocating for a humancentered approach that values meaningful work. By promoting the development of AI that enhances human well-being, the paper advocates for a recognition of the intrinsic value of care work and ensures its responsibility is shared across all genders.