Data Biases

Definition

Data biases refer to systematic errors or prejudices present in a dataset that can lead to inaccurate or unfair conclusions when analyzing the data.

Related terms

Sampling Bias: Sampling bias occurs when certain groups within a population are more likely to be included in a sample than others, leading to skewed results.

Confirmation Bias: Confirmation bias refers to the tendency of individuals to interpret information in a way that confirms their preexisting beliefs or hypotheses.

Algorithmic Bias: Algorithmic bias occurs when machine learning algorithms produce discriminatory outcomes due to biased training datasets or flawed programming.