Forthcoming
Forthcoming
Yoo, D. (2026). The Critical Role of Ethical Human Behavior in Digitized Markets: Lessons from Autonomous Vehicles in Mixed Traffic, Human Behavior and Emerging Technologies (in press).
Yoo, D. and Slavkovik, M. (2026). Bayesian Game-Theoretic Modelling of Pedestrian-Autonomous Vehicle Interaction. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE) 2026.
Yoo, D. and Dimitri, N. (2026). Structural Digital Inequalities and AI Governance.
The impacts of AI Adoption on Firms Productivity and Employment
Information Asymmetries and Cooperation with Transparent AI
AI Innovation, Energy Efficiency, and the Climate Transition
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)