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Moral Testing of Autonomous Driving Systems

Published: May 6, 2025 | arXiv ID: 2505.03683v1

By: Wenbing Tang , Mingfei Cheng , Yuan Zhou and more

Potential Business Impact:

Tests self-driving cars' "right" choices in crashes.

Business Areas:
Autonomous Vehicles Transportation

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.

Country of Origin
πŸ‡¨πŸ‡³ πŸ‡ΈπŸ‡¬ Singapore, China

Page Count
5 pages

Category
Computer Science:
Software Engineering