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算法监管与商业秘密保护的冲突及其协同路径

The Conflict between Algorithmic Regulation and Trade Secret Protection and its Collaborative Path

黄好

Progress in Social Sciences / 2026,8(4): 303-307 / 2026-05-06 6 3

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• Information:

  武汉工程大学，武汉

• Keywords:
  Algorithm supervision; Commercial secrets; Algorithm black box; The algorithm is transparent
  算法监管; 商业秘密; 算法黑箱; 算法透明
• Abstract: With the wide application of algorithms in the digital economy, the conflict between the legal regulation of algorithms and the protection of algorithmic trade secrets has become increasingly prominent. From the analysis of the internal mechanism of algorithmic legal regulation and trade secret protection, the algorithm has both high-risk characteristics and regulatory requirements, high-value attributes and confidentiality requirements. Starting from the typical scenarios of algorithm application, the three contradictions of ‘black box and transparency’ , ‘private rights and public welfare’ , and ‘value and risk’ are the key crux of the internal conflict between algorithm supervision and trade secret protection. The coordination mechanism of algorithm supervision and trade secret protection needs to be optimized from ‘algorithm filing’ to construct a hierarchical and classified algorithm supervision framework; grasp the limit of ‘algorithm disclosure’ and clarify the public boundary of ‘algorithm operation logic’ ; ‘Internal and external supervision’ collaboration to create a collaborative model of government regulation and internal supervision ; the improvement of ‘regulatory capacity’ and the strengthening of the professional level of algorithmic regulatory agencies are constructed in four aspects. 随着算法在数字经济中的广泛应用，算法的法律规制与算法商业秘密保护之间的冲突日益凸显。从算法法律规制与商业秘密保护的内在机理分析，算法同时具备高风险特性与监管要求、高价值属性与保密需求。从算法应用的典型场景出发，“黑箱与透明”“私权与公益”“价值与风险”三组矛盾，是算法监管与商业秘密保护内在冲突的关键症结所在。算法监管与商业秘密保护的协同机制，需要从“算法备案”优化，构建分级分类的算法监管框架；把握“算法公开”限度，厘清“算法公开运行逻辑”边界；“内外监管”协作，打造政府规制与内部监督协同模式；“监管能力”提升，强化算法监管机构专业化水平，四个方面构建。
• DOI: 10.35534/pss.0804054 (registering DOI)
• Cite: 黄好．算法监管与商业秘密保护的冲突及其协同路径［J］．社会科学进展，2026，8（3）：303-307.