Machine Learning: Machine learning is an application of artificial intelligence where computer systems learn from data patterns and make predictions or decisions without being explicitly programmed.
Data Bias: Data bias refers to inaccuracies or imbalances present within datasets used for training machine learning models. Biased data can lead algorithms towards incorrect conclusions.
Algorithmic Fairness: Algorithmic fairness focuses on developing unbiased algorithms that treat individuals fairly and do not discriminate based on protected characteristics such as race, gender, or age.