算法推荐下解释制度的优化路径研究

Research on the Optimization Path of the Interpretation System under Algorithmic Recommendation

随着“个性化算法推荐”在互联网时代的广泛运用,用户在算法社会中面临着严重的法律层面的权益保障问题与道德层面的精神侵害问题。因平台私权利扩张与法律对知识产权的保护,司法救济等事后补偿途径可操作性较低,规制推荐乱象的重心应当落于预防性质的立法上。而优化算法可解释性逐渐发展为全球范围内算法立法治理的一致要求。但我国的算法解释制度不完善,通过深入研究域外的算法解释规定,分析推荐算法公益性以权衡知识产权下的私权利,构建算法解释的评估体系并从解释时间、解释内容两个方面对《互联网信息服务算法推荐管理规定》作出合理的补充,从而推动算法社会健康发展。

With the widespread use of “personalized algorithmic recommendations” in the Internet era, users face serious problems of legal protection of rights and interests and moral infringement in the algorithmic society. Due to the expansion of the platform’s private rights and the protection of intellectual property rights by law, judicial remedies and other remedies are less operable, and the focus of regulating the recommendation chaos should fall on preventive legislation. The optimization of algorithm interpretability has gradually developed into a consistent requirement for algorithm legislative governance worldwide. However, China’s algorithm interpretation system is not perfect, so through an in-depth study of overseas algorithm interpretation regulations, analyzing the public interest of recommendation algorithms to counteract the jurisprudence of trade secrets, constructing an evaluation system of algorithm interpretation and making reasonable supplements to the Administrative Regulations on Algorithm Recommendation of Internet Information Services from two aspects, interpretation time and interpretation content, to promote the healthy development of algorithm society.