| 摘要: |
| 本文借助法律形式主义与法律现实主义的两分范式，探讨了计算法学在法律与人工智能研究中的历史起源、理论进展与未来方向，并结合法律形式主义与法律现实主义的双重路径，系统分析了其在理论与实践中的挑战与潜力。通过回溯莱布尼茨的法学梦想，本文提出，尽管计算法学在消解法律不确定性方面取得显著成效，但“法律奇点论”等极端形式主义思潮仍存在理论与实践的盲点。计算法学不仅需要在规则与预测之间寻求平衡，还应通过融合认知神经科学等跨学科方法，加强其介入法律解释与规范辩论的科学性和可操作性。本文主张一种超越技术决定论的“计算法治”框架，强调法律应在“计算性”与“人性”之间找到动态平衡，从而确保技术进步与社会价值的良性互动。 |
| 关键词: 计算法学 莱布尼茨 法律奇点 计算神经科学 法律与人工智能 |
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| The History and Future of Compulational Law |
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Li Xueyao & Liu Zhuang
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| Abstract: |
| This paper explores the historical origins, theoretical advancements, and future directions of computational law within the field of law and artificial intelligence. By examining both formalist and realist approaches to legal theory, the paper systematically analyzes the challenges and potential of computational law in theory and practice. Revisiting Leibniz's vision of a legal calculus, the paper argues that while computational law has achieved significant progress in mitigating legal uncertainty, extreme formalist perspectives, such as the “legal singularity” hypothesis, reveal theoretical and practical blind spots. The paper advocates for a balance between rules and predictions and suggests integrating interdisciplinary methods such as cognitive neuroscience to enhance the scientific and operational foundations of legal interpretation and normative debate. It calls for a “computational rule of law” framework that transcends technological determinism, emphasizing a dynamic equilibrium between computational efficiency and human values to ensure a constructive interaction between technological progress and social principles. |
| Key words: Computational Law, Leibniz, Legal Singularity, Computational Neuroscience, Law and Artificial Intelligence |
