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• Yoo, D. and Dimitri, N. (2026). Structural Digital Inequalities and AI Governance.

• Yoo, D. and Slavkovik, M. (2025). Bayesian Game-Theoretic Modeling of Pedestrian-Autonomous Vehicle Interaction (Job Market Paper).

• Yoo, D. and Giannetti, C. (2024). A Principal-Agent Model for Ethical AI: Optimal Contracts and Incentives for Ethical Alignment. Discussion Paper No. 313, Department of Economics and Management, University of Pisa. https://www.ec.unipi.it/documents/Ricerca/papers/2024-313.pdf 

• Information Asymmetries and Cooperation with Transparent AI

• AI Innovation, Energy Efficiency, and the Climate Transition

• The impacts of AI Adoption on Firms Productivity and Employment

A Bayesian Game in the Human-AI Society: The interaction between pedestrian and two types of autonomous vehicle

With Marija Slavkovik

It is assumed that an immoral intention of human traffic participants causes an ethical dilemma in an autonomous vehicles (AVs). A new type of reasoner is proposed to introduce two distinct types of AVs (dual-AV systems): one prioritizing passenger safety (insider protection) and the other focusing on pedestrian safety (outsider protection). It minimizes ethical debates regarding the prioritization of lives in unavoidable crashes. It also addresses heterogeneous moral preferences of the traffic participants in the AV ethics. A static Bayesian game model is used to analyze strategic interaction between a pedestrian and two types of AVs, ensuring balanced interactions whether neither AVs nor pedestrians dominate, thereby improving transportation efficiency in mixed traffic environments.

• Presented at the 65th Annual Meeting of the Italian Economic Association (October 2024)

65th Annual Conference - Italian Economic Association