算法的风险及法律规制探析

Analysis of the Risk and Legal Regulation of Algorithms

算法作为人工智能的核心,以大量数据流为基础,按照被赋予的逻辑运算规则,进行数据处理分析,为日常生活、商业金融和行政自动化辅助乃至于独立决策提供服务。算法自动化决策虽带来了诸多便利,但也催生了“算法黑箱”“算法歧视”“信息茧房”“算法趋同”等新的安全风险。为规制算法、防治算法权力异化,《个人信息保护法》《互联网信息服务算法推荐管理规定》等法律法规相继出台,由此中国建立了多元的算法规制路径:针对算法的控制者和编写者,采用算法评估制度、算法备案制度、算法解释、算法检查制度以及严格的侵权问责进行规制;针对算法的相对人,采用个人数据赋权的方式保护用户权益。

Algorithms, the core of artificial intelligence, based on a large amount of data streams, are used to process and analyze data according to the given logical rules to assist daily life, business, finance and administrative automation and even make independent decisions.Although the automated decision-making algorithm brings a lot of convenience, but also gives rise to "algorithm black box", "algorithm discrimination", "information cocoon", "algorithm convergence" and other new types of security risks.In order to regulate algorithms and prevent the alienation of algorithm power, laws and regulations such as the "Personal Information Protection Law" and "Regulations on the Administration of Algorithm Recommendations for Internet Information Services" have been introduced, and China has established a diversified path of algorithm regulation.For algorithm controllers and writers, algorithm evaluation system, algorithm filing system, algorithm explanation, algorithm inspection system and strict accountability system of infringement are adopted for regulation;for the users, the personal data empowerment is used to protect their rights and interests.