Keywords: Availability Bias, Contextual Bias, Interpretation Bias, Methodological Bias, Sampling Bias
Author: Brady Lund, Ting Wang
Publisher: Sciendo
Publication Year: 2020
Summary: The following article discusses the issues of bias in the data science world, however, it goes more in-depth and explains 5 different kinds of bias and how they are used in different phases of the data science life cycle. The 5 kinds of bias that the article says are present in data bias include sampling bias, availability bias, methodological bias, contextual bias, and interpretation bias. Overall, the article contains relevant information regarding ethical considerations for data science.