What is bias in machine learning, and why is it important?

Bias in machine learning refers to errors introduced in the model due to oversimplification, assumptions, or prejudices in the training data. 

It's important because it can lead to inaccurate predictions or decisions, particularly affecting fairness and ethical considerations.