Fairness in AI refers to the effort to ensure that artificial intelligence systems make decisions that are unbiased, ethical, and do not discriminate against any group. It involves identifying and reducing biases in data, algorithms, and outcomes to promote equal treatment across different demographics. Fair AI is crucial for responsible AI development, especially in areas like hiring, lending, healthcare, and law enforcement, where biased AI can reinforce existing inequalities.