Understanding Machine Learning Bias

## What It Is Machine Learning (ML) bias happens when an algorithm unintentionally favors or disfavors certain groups. ## Why It Matters - **Fairness**: Biased models can treat people unequally. - **Trust**: Users lose confidence if outcomes feel unfair. - **Compliance**: Regulations demand equitable AI practices. ## Simple Ways to Reduce Bias 1. **Gather Diverse Data**: Capture various demographics to represent real-world users. 2. **Monitor Metrics**: Track fairness indicators alongside accuracy. 3. **Iterate & Improve**: Continually refine and update your model with new insights.