Implicit bias
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
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
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Work with a diverse team where people can put different perspectives such as people with different levels of domain knowledge.
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Make other people audit your data and source data from multiple sources. The aim should be to reach the closest to the objective truth.