Machine Learning Fairness

Machine learning fairness refers to the effort to ensure that algorithms and models make decisions without bias against any particular group of people. This means that when artificial intelligence is used in areas like hiring, lending, or law enforcement, it should treat everyone equally, regardless of race, gender, or other characteristics. Fairness in machine learning seeks to identify and reduce any unintended discrimination that might arise from biased data or model design, ensuring that technology benefits all individuals fairly and justly.