Implicit bias occurs when one makes prejudiced assumptions based on their own personal experiences and opinions, that eventually doesn’t apply to generalizations.
Confirmation bias is a form of implicit bias when one unconsciously interprets the data that is in line with their own experiences and opinions and continuously looks for what they already believe.
Example: In a real estate price prediction model, when one thinks the prices are so high and processes the data constantly to predict cheaper prices.
Example: Continuously look for the data that will confirm that it is a half-empty glass instead of a half-full glass
How to prevent implicit bias
Diversity is key to preventing implicit bias. To avoid your own prejudice, you can
Work with a diverse team where people can put different perspectives such as people with different levels of domain knowledge.
Make other people audit your data and source data from multiple sources. The aim should be to reach the closest to the objective truth.