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<p>While the distinction between humans and technology played a&#xa0;role for a&#xa0;long time, AI has been heavily anthropomorphised for decades, primarily regarding gender. AI is thus inscribed with ideas about humans. While on the one hand developers and tech companies prescribe a&#xa0;gendered reading in product names, behaviours or interfaces, the media can also perpetuate stereotypical narratives and even users often unconsciously produce a&#xa0;linguistic co-construction of gender in the pronouns used for AI. In its theoretical basis, the article first describes the relationship between gender and technology, drawing on findings from feminist science and technology studies. AI is understood as a&#xa0;result of a&#xa0;material-discursive apparatus. It is assumed that not only the predominantly male developers are authors of gender attribution in AI, but that users also bring stereotypical expectations or interpretations of gender to AI. AI itself contains characteristics of social gender, in which biological gender can also be imitated and psychological gender simulated as sub-forms. However, these inscriptions are often not recognised or even deliberately concealed. A model for the linguistic co-construction of gender is intended to show various dimensions in which gender is evoked or produced in communication.</p>

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»Ich bin geschlechtslos, wie Kakteen und manche Fische«

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月29日

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  • Tamara Bodden

摘要

While the distinction between humans and technology played a role for a long time, AI has been heavily anthropomorphised for decades, primarily regarding gender. AI is thus inscribed with ideas about humans. While on the one hand developers and tech companies prescribe a gendered reading in product names, behaviours or interfaces, the media can also perpetuate stereotypical narratives and even users often unconsciously produce a linguistic co-construction of gender in the pronouns used for AI. In its theoretical basis, the article first describes the relationship between gender and technology, drawing on findings from feminist science and technology studies. AI is understood as a result of a material-discursive apparatus. It is assumed that not only the predominantly male developers are authors of gender attribution in AI, but that users also bring stereotypical expectations or interpretations of gender to AI. AI itself contains characteristics of social gender, in which biological gender can also be imitated and psychological gender simulated as sub-forms. However, these inscriptions are often not recognised or even deliberately concealed. A model for the linguistic co-construction of gender is intended to show various dimensions in which gender is evoked or produced in communication.