Bias in Algorithms

Bias in algorithms refers to the tendency of automated systems to produce unfair, skewed, or prejudiced outcomes due to the data they are trained on or how they are designed. If the data reflects existing prejudices or lacks diversity, the algorithm may unintentionally reinforce those biases, leading to unfair treatment of certain groups or individuals. Recognizing and addressing bias is crucial to ensure algorithms make decisions that are fair, accurate, and equitable across different populations.