Fairness in AI refers to the principle that artificial intelligence systems should treat all individuals and groups equitably, without bias or discrimination. This involves ensuring that algorithms do not favor one demographic over another, which can lead to unjust outcomes in areas like hiring, lending, and law enforcement. To achieve fairness, developers often use techniques such as data balancing and bias detection. Organizations may also implement guidelines and frameworks to assess the fairness of their AI systems, ensuring they align with ethical standards and promote social justice in technology.