Disrupting the Binary: An Argument for Cybernetic Feminism in Deconstructing AI’s Gendered Algorithms

Abstract

This research paper embarks on a comprehensive exploration of the complex interplay between gender biases and Artificial Intelligence (AI) algorithms, framed through the lens of cybernetic feminism. Drawing on a rich body of interdisciplinary literature, the paper critically examines how biases are not mere reflections of existing societal norms but are intricately woven into the very architecture of algorithms. The paper delves into various sectors impacted by these biases, including healthcare and employment, and underscores the ethical and policy implications arising from the use of biased algorithms. It argues for a multi-pronged, interdisciplinary approach to address these biases, highlighting the dynamic and evolving role of cybernetic feminism as both a methodological and ethical framework. The paper also outlines potential avenues for future research, emphasizing the need for longitudinal studies and a broader understanding of intersectional identities. By synthesizing key insights from seminal works in AI ethics, feminist theory, and legal studies, this paper serves as an urgent call to action, advocating for a more equitable digital future through concerted efforts across technological, ethical, and policy domains.