Author: Jonathan Davis
Publisher: The Medium
Publication Year: 2020
Summary: The following article discusses how confirmation bias is a subtle form of bias that can cause data scientists to ask questions that are prone to confirming what they already believe to be true. Ethically, to objectively evaluate data, the questions we ask need to be free from bias. Data scientists need to ensure their prior beliefs do not “stop people from searching for evidence that contravenes their prior beliefs.”