Fairness

Fairness refers to the principle of ensuring that different groups or individuals are treated justly in machine learning models, aiming to eliminate algorithmic bias and discrimination while enhancing decision transparency and rationality. Its core objective is to systematically evaluate and correct models to achieve equal protection for all user groups, promoting social justice and ethical compliance. In practical applications, fairness helps build more reliable and trustworthy artificial intelligence systems, increasing public trust and support for technology.