Scholarlink

<p>While human-centred AI (HCAI) has emerged as a commonly deployed response to algorithmic harms, it remains largely reactive and limited in addressing their structural causes. Drawing on feminist STS, intersectionality, critical posthumanism, and more-than-human anthropology, the paper proposes a more comprehensive Feminist AI Framework (FAIF) that expands existing approaches by addressing both immediate biases and the onto-epistemological assumptions sustaining them and positions feminist analysis as integral to technical literacy. Drawing on extensive classroom exercises using text-to-image generators, the paper argues for the systematic integration of feminist perspectives into the development and deployment of AI and in STEM education in general.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Beyond inclusion: feminist AI for transformative justice in STEM

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月20日

查看全文
  • Tanja Kubes

摘要

While human-centred AI (HCAI) has emerged as a commonly deployed response to algorithmic harms, it remains largely reactive and limited in addressing their structural causes. Drawing on feminist STS, intersectionality, critical posthumanism, and more-than-human anthropology, the paper proposes a more comprehensive Feminist AI Framework (FAIF) that expands existing approaches by addressing both immediate biases and the onto-epistemological assumptions sustaining them and positions feminist analysis as integral to technical literacy. Drawing on extensive classroom exercises using text-to-image generators, the paper argues for the systematic integration of feminist perspectives into the development and deployment of AI and in STEM education in general.