Fairness (computer systems) is the property of an algorithm, model, or system that ensures equitable treatment of different individuals or groups, preventing outcomes that are biased or discriminatory based on sensitive attributes such as race, gender, age, or socioeconomic status. It represents a critical area of research and development focused on identifying, quantifying, and mitigating sources of bias within data, algorithms, and system deployment, aiming to achieve various definitions of fairness (e.g., demographic parity, equalized odds, individual fairness). This concept is fundamental to the ethical and responsible design of computational systems across diverse applications, including those in computational linguistics and computer vision, where biased outputs can have significant societal implications.