Fairness in Machine Learning

Fairness in machine learning means designing algorithms that make decisions without being biased against certain groups or individuals. It involves ensuring that outcomes are equitable across diverse populations, avoiding discrimination based on characteristics like race, gender, or age. Achieving fairness requires careful data selection and algorithm adjustments to prevent unintended biases that could unfairly favor or disadvantage specific groups. Overall, it aims to build trustworthy systems that treat everyone justly and promote equal opportunities.