PROIZVODNJA ZNANJA, RAD I VEŠTAČKA INTELIGENCIJA: NASTAVAK PRIČE O RODNOJ NEJEDNAKOSTI
Knowledge Production, Labor, and Artificial Intelligence: The Continuation of the Story about Gender Inequality

Summary/Abstract: By critically analyzing the issues of the data gender gap and the underrepresentation of women in technology roles, this text aims to explore how artificial intelligence perpetuates and produces gender inequalities. In dominant analyses of artificial intelligence from a gender perspective, it is often highlighted that the data behind machine learning lacks information about women, and that the gender gap in the labor market deepens due to their low participation in the development and implementation of artificial intelligence. Starting from the assumption that technology is not detached from existing social structures and knowledge concepts, it is argued that the focus of gender analysis of artificial intelligence should shift from data diversification to the development of alternative models of knowledge acquisition and production. By building on insights from feminist epistemology, specifically feminist standpoint theories, this paper explores whether algorithms, modeled within the frameworks of capitalist relations and universal knowledge in traditional epistemology, can be used to eliminate gender and other inequalities, or whether it is necessary to develop a completely new computer language. Also, drawing on feminist labor theories, it is concluded that closing the gender gap in the labor market cannot be reduced to women’s non-participation in the development of artificial intelligence, nor can it be studied without addressing the lower status of women’s labor within capitalist society.

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