Fairness

Fairness in computer vision systems refers to ensuring that algorithms treat different groups without bias or discrimination, achieving the goals of justice and equality. At its core, it involves optimizing model training and dataset construction to eliminate potential biases and unfairness, thereby enhancing the reliability and credibility of the system. The application value of fairness lies in creating a more inclusive and equitable technological environment, promoting the integration of social justice and technological ethics, and increasing user trust and support for technology.