Moral Testing of Autonomous Driving Systems

Autonomous Driving System (ADS) testing plays a crucial role in their development, with the current focus primarily on functional and safety testing. However, evaluating the non-functional morality of ADSs, particularly their decision-making capabilities in unavoidable collision scenarios, is equally important to ensure the systems’ trustworthiness and public acceptance. Unfortunately, testing ADS morality is nearly impossible due to the absence of universal moral principles. To address this challenge, this paper first extracts a set of moral meta-principles derived from existing moral experiments and well-established social science theories, aiming to capture widely recognized and common-sense moral values for ADSs. These meta-principles are then formalized as quantitative moral metamorphic relations, which act as the test oracle. Furthermore, we propose a metamorphic testing framework to systematically identify potential moral issues. Finally, we illustrate the implementation of the framework and present typical violation cases using the VIRES VTD simulator and its built-in ADS.

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Published
2025-04-29
DOI
https://doi.org/10.1109/se4ads66461.2025.00011
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37

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article

Moral Testing of Autonomous Driving Systems

Wenbing Tang, Mingfei Cheng, Yang Liu, Yuan Zhou
1 citations
Ethics and Social Impacts of AI
2.37
article

Moral Testing of Autonomous Driving Systems

Wenbing Tang, Mingfei Cheng, Yang Liu, Yuan Zhou
article en
1 citations

Abstract

Autonomous Driving System (ADS) testing plays a crucial role in their development, with the current focus primarily on functional and safety testing. However, evaluating the non-functional morality of ADSs, particularly their decision-making capabilities in unavoidable collision scenarios, is equally important to ensure the systems’ trustworthiness and public acceptance. Unfortunately, testing ADS morality is nearly impossible due to the absence of universal moral principles. To address this challenge, this paper first extracts a set of moral meta-principles derived from existing moral experiments and well-established social science theories, aiming to capture widely recognized and common-sense moral values for ADSs. These meta-principles are then formalized as quantitative moral metamorphic relations, which act as the test oracle. Furthermore, we propose a metamorphic testing framework to systematically identify potential moral issues. Finally, we illustrate the implementation of the framework and present typical violation cases using the VIRES VTD simulator and its built-in ADS.

Zhejiang Sci-Tech University (CN), Nanyang Technological University (SG), Singapore Management University (SG)
National Research Foundation, Nanyang Technological University, Zhejiang Sci-Tech University, Research and Development
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.37
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