Analysis of legal regulations on algorithmic discrimination
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.
NETL
NSTL
万方数据
