Unfairness in AI is unjustified differential treatment or impact that benefits or disadvantages certain people or groups. It may arise from biased data, model design, deployment context, or governance failures.
In an AIcontext, the unjustified differential treatment (which can occur as a result of data and modelbias) that preferentially benefits (or disadvantages) certain groups more than others.