Author

K. Hu

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Preprint Sep 2026

The Implementation Cost of Fairness in Service Policy Selection

Service organizations use simulation, pilot studies, and historical data to select service policies that balance aggregate performance and fairness. Existing work primarily evaluates the operational cost of fairness, defined as the performance loss caused by restricting the feasible policy set. In this research, we ide...

Jun-Jie Liu, Ming-Jie Hu, K. Hu et al. · 0 citations

Open access Sep 2026

Dynamic AI-Human Co-Learning in Service Operations: Balancing Knowledge Sampling and Reputational Risks in a Two-Stage Model

The rapid adoption of AI in customer-facing services, such as digital livestreaming, promises efficiency gains but introduces profound socio-technical frictions, including algorithm aversion and trust erosion. This paper develops a two-stage dynamic optimization model of AI-human co-learning over a finite horizon, endo...

Lu-Yao Wang, K. Hu, Jian-Qiang Hu · ACM Transactions on Social C... · 0 citations

Open access Aug 2026

From Calibrated Confidence to Calibrated Reliance: Human-Aware Confidence Communication for AI-Assisted Decision Making

It is suggested that confidence interfaces should be evaluated for human–AI team behavior, with explicit support, transparency, and robustness checks, rather than for model-side statistical fidelity alone.

Zijian Wang, K. Hu · ACM Transactions on Social C... · 0 citations