主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 2026 ›› Issue (1): 85-96.DOI: 10.3969/j.issn.1671-2072.2026.01.011

• 鉴定论坛 • 上一篇    下一篇

新质生产力驱动司法鉴定的范式变革与制度响应机制研究

王海霞   

  1. 西南政法大学 民商法学院,重庆 401120
  • 收稿日期:2025-06-23 出版日期:2026-01-15 发布日期:2026-01-22
  • 作者简介:王海霞(1996—),女,博士研究生,主要从事新质生产力、人工智能、知识产权等研究。E-mail:1735657009@qq.com
  • 基金资助:
    2024年重庆市研究生科研创新项目(CYB240157);西南政法大学知识产权保护协同创新中心2024年度学生科研创新项目(24IP005);高校青年西部强国行暨校史育人大型调研实践项目(2024XSXSKZ-04)。

Research on the Paradigm Shift and Institutional Response Mechanisms of Forensic Appraisal Driven by New Quality Productive Forces

WANG Haixia   

  1. Civil and Commercial Law School, Southwest University of Political Science and Law, Chongqing 401120,China
  • Received:2025-06-23 Published:2026-01-15 Online:2026-01-22

摘要: 新质生产力作为驱动经济高质量发展的核心引擎,赋能司法鉴定领域智能化转型。党的二十届四中全会、《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》对发展新质生产力作出明确部署,为新质生产力与司法鉴定领域融合提供政策指引。解构新质生产力的核心内涵,分析其与司法鉴定领域的耦合共生关系,指出当前存在智能鉴定法律规范缺位、数据泄露风险、深度伪造问题、算法黑箱困境以及新质鉴定劳动者匮乏等阻碍新质生产力充分释放的障碍。为此,提出制定融合智能元素的《司法鉴定法》、构建分级分类的数据访问与区块链存证机制、加强人工智能鉴定结果的标识义务以化解深度伪造难题、建立算法透明化问责机制并通过产学研融合培养兼具鉴定知识与智能技术的复合型劳动者,为司法鉴定范式跃迁提供制度保障,助力推动我国司法鉴定领域高质量发展。

关键词: 新质生产力, 司法鉴定智能化, 数据安全, 算法问责, 人才培养

Abstract: As the core engine driving high-quality economic development, new quality productive forces empower the intelligent transformation of the forensic appraisal field. The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China and the “Recommendations of the Central Committee of the Communist Party of China for Formulating the 15th Five-Year Plan for National Economic and Social Development” have made explicit arrangements for developing new quality productive forces, providing policy guidance for their integration with the forensic appraisal field. This study deconstructs the core connotation of new quality productive forces, analyzes their coupled and symbiotic relationship with the forensic appraisal field, and identifies current obstacles hindering their full release, including the absence of legal regulations for intelligent appraisal, data leakage risks, deepfake issues, algorithmic black box dilemmas, and the shortage of new-type appraisal professionals. To address these challenges, this study proposes the following measures: formulating a unified Forensic Appraisal Law incorporating intelligent elements; establishing a hierarchical and categorized data access and blockchain-based evidence preservation mechanism; strengthening the obligation to label AI-generated appraisal results to address deepfake issues; creating an algorithm transparency and accountability mechanism; and cultivating interdisciplinary professionals with both appraisal expertise and intelligent technology skills through industry-academia-research integration. These measures aim to provide institutional support for the paradigm shift in forensic appraisal and promote high-quality development in China’s forensic appraisal field.

Key words: new quality productive force, intelligent forensic appraisal, data security, algorithmic accountability, professional cultivation

中图分类号: