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There is little consensus about how moral values are learned. Using a novel social learning task, we examine whether vicarious learning impacts moral values—specifically fairness preferences—during decisions to restore justice. In both laboratory and Internet-based experimental settings, we employ a dyadic justice game where participants receive unfair splits of money from another player and respond resoundingly to the fairness violations by exhibiting robust nonpunitive, compensatory behavior (baseline behavior). In a subsequent learning phase, participants are tasked with responding to fairness violations on behalf of another participant (a receiver) and are given explicit trial-by-trial feedback about the receiver’s fairness preferences (eg, whether they prefer punishment as a means of restoring justice). This allows participants to update their decisions in accordance with the receiver’s feedback (learning …