关键词: 算法歧视; 算法偏见; 深度学习; 人工智能

Abstract: Algorithmic justice is now seen as a core ethical issue in the field of artificial intelligence， and is often expressed as algorithmic bias or algorithmic discrimination. But algorithm bias and algorithm discrimination are actually two problems. Distinguishing these two problems can show that algorithm bias does not have an ethical dimension， and algorithm discrimination is the real core ethical problem in the field of artificial intelligence. Algorithm bias is inevitable and it mainly comes from the bias of developers， the bias of data and the bias of algorithm itself. Among them， explicit bias is easy to be found and eliminated， but implicit bias is inevitable in the algorithm. The subject mainly responsible for algorithmic discrimination is human being， whose blind obedience to algorithmic bias leads to algorithmic discrimination. The discrimination caused by autonomous decision-making algorithm can also be traced to people. Therefore， algorithm developers and users should be responsible for algorithm discrimination.

Key words: algorithm discrimination; algorithm bias; deep learning; artificial intelligence