Jun-Yue Wang

Algorithmic fairness in AI-based fitness advice: evaluating socioeconomic bias in county-contextualized physical activity prescriptions

A reproducible framework that connects equity-oriented health-recommender principles to traceable output auditing and targeted bias mitigation is established and provides researchers and practitioners with an actionable foundation for downstream expert, user, and implementation validation.