摘要
电子商务领域个性化推荐算法的大规模应用提升了交易效率,但也使得算法权力与个人权利、公共空间之间的平衡被悄然打破,算法风险日益凸显。传统的算法公开、反算法歧视、个人赋权为主导的算法规制方式虽对算法风险有所克减,但在规制效果上仍存在不同程度的不足。有鉴于此,算法规制应转变“效率优先”的理念,探索规范制定上的“软硬结合”与制度设计上的“内外联动”,由法律赋权向法律赋能模式转变,提升消费者的权利认知,从而进一步推进算法规制的完善。
In the field of e-commerce, the personalized recommendation algorithm based on implicit user feedback data stream has improved the transaction efficiency, but it has also quietly broken the balance between the algorithm power and personal rights, as well as the public space, and the algorithm risk has become increasingly prominent. Although the traditional algorithm regulation mode dominated by algorithm publicity, anti algorithm discrimination and individual empowerment has reduced the algorithm risk, there are still deficiencies in the regulation effect to varying degrees. In view of this, algorithmic regulation should change the concept of "efficiency first", explore the "combination of soft and hard" in norm formulation and the "internal and external linkage" in system design, change from legal empowerment to legal empowerment mode, improve consumers’ rights awareness, and further promote the improvement of algorithmic regulation.
作者
蒋慧
徐浩宇
Jiang Hui;Xu Haoyu
出处
《价格理论与实践》
北大核心
2022年第12期39-43,共5页
Price:Theory & Practice
基金
2020年广西哲学社会科学规划研究课题“广西自由贸易试验区建设法律问题研究”(20BFX004)。
关键词
电商平台
个性化推荐算法
算法规制
法律赋能
e-commerce platform
personalized recommendation algorithm
algorithm regulation
legal empowerment
