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The Gender Code: Gendering the Global Governance of Artificial Intelligence

arXiv 2512.09570 ↗First posted 10 Dec 2025cs.CY cs.AIcited by 0

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Abstract (arXiv)

This paper examines how international AI governance frameworks address gender issues and gender-based harms. The analysis covers binding regulations, such as the EU AI Act; soft law instruments, like the UNESCO Recommendations on AI Ethics; and global initiatives, such as the Global Partnership on AI (GPAI). These instruments reveal emerging trends, including the integration of gender concerns into broader human rights frameworks, a shift toward explicit gender-related provisions, and a growing emphasis on inclusivity and diversity. Yet, some critical gaps persist, including inconsistent treatment of gender across governance documents, limited engagement with intersectionality, and a lack of robust enforcement mechanisms. However, this paper argues that effective AI governance must be intersectional, enforceable, and inclusive. This is key to moving beyond tokenism toward meaningful equity and preventing reinforcement of existing inequalities. The study contributes to ethical AI debates by highlighting the importance of gender-sensitive governance in building a just technological future.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 42 references that are in the map. First posted on arXiv 10 Dec 2025.

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References · 2

  1. 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddingscited by 1,312
  2. 2023A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systemscited by 13

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