The Fairness Definition

Fairness in machine learning refers to designing algorithms that treat individuals and groups justly, without bias or discrimination. It involves ensuring that the outcomes do not favor or disadvantage certain people based on characteristics like race, gender, or background. Fairness aims to create systems that make decisions transparently and equitably, aligning with societal values of justice. Achieving fairness often requires balancing different goals, such as accuracy and equality, to prevent unfair treatment while maintaining effective performance.