Background : With AI systems increasingly being applied to assist humans in decision-making processes such as talent hiring, school admissions, and loan approvals, there is a growing need to ensure that the resulting decisions are fair. A major challenge in analyzing fairness is that standards are highly subjective and context-dependent —- there is no consensus on what absolute fairness means in every scenario. Moreover, different standards of fairness often conflict with each other. Objectives