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Moral Complexity in Traffic: Advancing the ADC Model for Automated Driving Systems
Dario Cecchini1, Veljko Dubljević2
1Department of Philosophy and Religious Studies, North Carolina State University, Raleigh, NC, USA.
Abstract:
The incorporation of ethical settings in Automated Driving Systems (ADSs) has been extensively discussed in recent years with the goal of enhancing potential stakeholders' trust in the new technology. However, a comprehensive ethical framework for ADS decision-making, capable of merging multiple ethical considerations and investigating their consistency is currently missing. This paper addresses this gap by providing a taxonomy of ADS decision-making based on the Agent-Deed-Consequences (ADC) model of moral judgment. Specifically, we identify three main components of traffic moral judgment: driving style, traffic rules compliance, and risk distribution. Then, we suggest distinguishable ethical settings for each traffic component.
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