探索专家与公众如何共同治理AI，推动更透明公正的政策制定。
Democratizing AI Governance: Balancing Expertise and Public Participation
- 结合参与式民主与专家治理，构建混合型AI监管框架。
- 通过法、巴案例证明包容性机制可提升技术决策的公信力。
- 适合关注AI伦理与公共政策的决策者与研究者参考。
人工智能系统的快速发展及其广泛的社会影响，对治理提出了严峻挑战。历史上，技术创新多由专业精英主导，公众参与有限。然而，AI在医疗、就业、司法等领域的深远影响，要求采用更具包容性的治理模式。本文探讨专家主导与民主参与之间的张力，分析参与式与审议式民主模型。基于法国和巴西的案例研究，揭示包容性框架如何弥合技术复杂性与公众问责之间的鸿沟。文章为欧盟提出建议：建立融合透明度、多样性与适应性监管的平衡治理体系，确保AI治理既反映社会价值又保持技术严谨性。研究强调，未来AI政策应依托专家与公众声音相结合的混合框架。
原文摘要 · Abstract (English)
The development and deployment of artificial intelligence (AI) systems, with their profound societal impacts, raise critical challenges for governance. Historically, technological innovations have been governed by concentrated expertise with limited public input. However, AI's pervasive influence across domains such as healthcare, employment, and justice necessitates inclusive governance approaches. This article explores the tension between expert-led oversight and democratic participation, analyzing models of participatory and deliberative democracy. Using case studies from France and Brazil, we highlight how inclusive frameworks can bridge the gap between technical complexity and public accountability. Recommendations are provided for integrating these approaches into a balanced governance model tailored to the European Union, emphasizing transparency, diversity, and adaptive regulation to ensure that AI governance reflects societal values while maintaining technical rigor. This analysis underscores the importance of hybrid frameworks that unite expertise and public voice in shaping the future of AI policy.
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