摘要
在人工智能的发展中,算法可能会因为数据不足和程序员故意或疏忽的错误而导致算法歧视。中国和欧美国家都出台了防止算法歧视的政策,但都缺乏行之有效的法律规制。相较于中国缺乏防止算法歧视的法律适用标准,欧美相关立法虽然通过判例法给出适用标准,但对于算法歧视的直接规定非常有限,并且缺乏法律问责制度。由于算法歧视具有隐蔽性、责任难以认定以及容易产生马太效应的特点,对算法歧视的法律规制,既需要明确算法的公平、问责和透明,也需要通过技术改进和人为控制的手段,在规制和创新上寻求平衡,达到有效控制人工智能技术以及算法行业自律的目的。
During the development of artificial intelligence,algorithms may cause discrimination because of insufficient data and intentional or negligent mistakes by programmers.China,Europe,and United States have introduced policies to prevent algorithmic discrimination,but they lack effective regulations.Compared with China’s lack of legal application standards to prevent algorithmic discrimination,Europe and the United States provides applicable standard through case law.However,the direct provisions on algorithmic discrimination are very limited,and there is a lack of legal accountability system.Because algorithmic discrimination has the characteristics of concealability,being difficult to identify responsibility and easy to produce Matthew effect,in terms of the legal regulation of algorithmic discrimination,it is necessary to clarify fairness,accountability,and transparency of algorithms,and also necessary to seek a balance between regulation and innovation through technological improvement and human control,so as to achieve the purpose of effectively controlling artificial intelligence technology and self-regulation of the algorithm industry.
作者
吕斯轩
胡创
LV Si-xuan;HU Chuang(Law School,Tianjin University,Tianjin 300072,China)
出处
《青岛科技大学学报（社会科学版）》
2024年第2期80-90,共11页
Journal of Qingdao University of Science and Technology(Social Sciences)
基金
天津市法学理论法治实践研究重点课题(TJ2019002)。
关键词
算法
歧视
人工智能
法律规制
algorithm
discrimination
artificial intelligence
legal regulation
作者简介
吕斯轩(1987-),男,江苏南通人,天津大学法学院讲师,博士。
