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作 者:侯泽琦 HOU Zeqi(School of Law,Beijing Institute of Technology,Beijing 100081,China)
出 处:《北京航空航天大学学报(社会科学版)》2024年第1期175-183,共9页Journal of Beijing University of Aeronautics and Astronautics:Social Sciences edition Edition
基 金:国家社会科学基金重点项目(21AFX004)。
摘 要:算法解释是利用可视化与自然语言的方式向有关主体作出解释,而算法透明是算法主体通过算法解释行为而获得一定的公信力并满足监管的状态,二者是手段与目的的关系。算法的黑箱性来源于其高度非线性的特征,法律需要凝练算法技术参数与算法“主观恶性”之间的联系,形成针对算法解释的定性、定量、定体标准,从而使算法解释工作在标准化的同时也能够为常人所理解。专利制度的“公开换垄断”特征,使得“算法公开”可能可以满足监管需求,“专利垄断”则激励企业自律。因此,在中国,判断人工算法专利适格性的理论证成与制度标准,逐渐从“是否可专利性”转变为“算法专利保护”。在算法分级分类监管背景下,部分算法透明的任务可能由专利公开文件完成,同时,专利公开文件成为后续算法透明路径中不可或缺的基础参考。Algorithm interpretation is to make explanations to relevant subjects by means of visualization and natural language,while algorithm transparency is the state in which the subjects of algorithm obtain a certain degree of credibility and meet regulation through algorithm interpretation,and the relationship between the two is that of means and ends.The black box nature of the algorithm comes from its highly non-linear characteristics,but the law needs to condense the connection between the technical parameters of the algorithm and the“subjective malignancy”of the algorithm,and form the qualitative,quantitative and stereotypical standards for algorithm interpretation,so that the algorithm interpretation work can be standardized and understood by ordinary people.The“disclosure for monopoly”feature of the patent system makes it possible for the“disclosure”to meet the regulatory needs,while“monopoly”encourages enterprises to regulate themselves.Therefore,the theoretical evidence and institutional standards for judging the patent eligibility of artificial algorithms in China have gradually changed from“patentability”to“algorithm patent protection”.Under the background of regulation of algorithms covering different levels and categories,some tasks of algorithm transparency may be completed by algorithm patent disclosure documents,and at the same time,patent disclosure documents can become an indispensable basic reference in the subsequent algorithm transparency path.
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