WOMEN WHO CODE THE FUTURE: EXPLORING FEMINIST TECHNO-SCIENCE IN THE AI REVOLUTION

Abstract

As artificial intelligence becomes an increasingly powerful force reshaping economies, labor, and daily life, the role of women in its development remains both crucial and underacknowledged. This study explores how women developers, engineers, and researchers are not only entering but actively transforming the AI landscape. Anchored in the theoretical framework of feminist technoscience—particularly the work of Donna Haraway and Judy Wajcman—this research challenges the notion that technology is a neutral or genderless field. Instead, it argues that technological systems, including AI, are deeply embedded with the social values and power structures of their creators. Women working in AI today are reshaping these systems by embedding values of equity, care, accountability, and inclusivity into algorithmic design and digital infrastructures. Through an interdisciplinary approach that combines qualitative case studies, ethnographic accounts, and interviews with women in AI fields, the paper documents how feminist interventions are emerging not only in grassroots tech communities but also in major industry and academic institutions. These women are not simply participating in AI—they are redefining what it means to build technology for the public good. The study further reflects on how feminist technoscience opens up space for ethical innovation, questioning the biases and exclusions coded into AI systems while offering alternative, socially conscious pathways forward. By centering women’s contributions and critically examining the structural challenges they face, this research calls for a reimagining of technological progress—one that sees gender equity not as an afterthought, but as a foundational principle of the AI revolution. 

Keywords: Feminist Technoscience, Artificial Intelligence, Women in Technology, Gender and Innovation, Ethical AI, Intersectionality, Digital Equity