分析全球AI治理中的性别议题，揭示现状与改进方向
The Gender Code: Gendering the Global Governance of Artificial Intelligence
- 梳理欧盟AI法案等多方治理框架的性别条款
- 指出性别治理存在标准不一、执行乏力等核心缺陷
- 强调需以交叉性视角推动可执行的包容性治理
本文分析国际AI治理框架如何应对性别问题及基于性别的伤害。研究涵盖具有约束力的法规（如欧盟AI法案）、软法文件（如教科文组织《AI伦理建议书》）以及全球倡议（如全球人工智能合作组织GPAI）。结果显示，性别关切正逐步融入人权框架，性别条款趋于明确，对包容性与多样性日益重视。然而仍存在关键短板：不同治理文件对性别处理不一致，缺乏对交叉性问题的深入探讨，且缺少有力执行机制。本文主张，有效的AI治理必须具备交叉性、可执行性和包容性，才能超越象征性举措，实现真正公平，防止加剧既有不平等。研究为伦理AI讨论提供了重要参考，强调性别敏感型治理对构建公正技术未来的关键意义。
原文摘要 · Abstract (English)
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.
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