  Teaching unbiased decision-making is crucial for addressing biased
decision-making in daily life. Although both raising awareness of personal
biases and providing guidance on unbiased decision-making are essential, the
latter topics remains under-researched. In this study, we developed and
evaluated an AI system aimed at educating individuals on making unbiased
decisions using fairness-aware machine learning. In a between-subjects
experimental design, 99 participants who were prone to bias performed personal
assessment tasks. They were divided into two groups: a) those who received AI
guidance for fair decision-making before the task and b) those who received no
such guidance but were informed of their biases. The results suggest that
although several participants doubted the fairness of the AI system, fair
machine guidance prompted them to reassess their views regarding fairness,
reflect on their biases, and modify their decision-making criteria. Our
findings provide insights into the design of AI systems for guiding fair
decision-making in humans.
