Bias Recognition

Bias recognition involves identifying and understanding systematic errors in data or analysis that can lead to unfair or inaccurate conclusions. These biases can arise from various sources, including data collection methods, sampling techniques, or even the assumptions made during analysis. Recognizing these biases is crucial for ensuring that data-driven insights are reliable and equitable.

Visit the following resources to learn more:

• @article@What is Data Bias?