Self-Driving Vehicles—an Ethical Overview

Hansson, Sven Ove; Belin, Matts-Åke; Lundgren, Björn · 2021 · Crossref

DOI: 10.1007/s13347-021-00464-5

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Summary

This paper provides a comprehensive ethical overview of self-driving vehicles, arguing that the discourse has been overly narrow, focusing disproportionately on improbable dilemma scenarios rather than realistic, systemic ethical challenges. The authors aim to broaden the scope of ethical inquiry to include social, political, and infrastructural implications of automated road traffic. The study is a theoretical review and analysis of existing ethical, technical, and policy literature, rather than an empirical study with new data collection. The authors structure their analysis around several key domains. First, they examine the shift in responsibility ascriptions. As vehicles become fully automated, the traditional assignment of blame and task responsibility to human drivers becomes untenable. The paper argues that responsibility will likely transfer to vehicle manufacturers, road system managers, and infrastructure providers, aligning with the "Vision Zero" approach that emphasizes systemic safety over individual culpability. The authors dismiss the likelihood of holding artificial intelligence itself responsible in the foreseeable future, noting that current systems lack the autonomy and moral agency required for such attribution. Second, the paper analyzes public acceptance and social conflict. It posits that public tolerance for accidents involving autonomous vehicles will be significantly lower than for human-driven cars, potentially requiring a 75–80% reduction in fatalities for societal acceptance. This high safety threshold may delay the introduction of safer automated systems, creating an ethical paradox. Furthermore, the authors highlight potential social conflicts arising from the loss of informal communication between drivers and pedestrians, fears of technological dependence, and the preservation of the "pleasure of driving." Third, the authors explore trade-offs inherent in constructing a new traffic system. They identify conflicts between safety and other values, such as speed, economic efficiency, accessibility, and equity. For instance, "platooning" vehicles to reduce congestion may lower safety margins, while advanced safety features in expensive cars may create an equity gap where lower-income users are exposed to higher risks. The paper also critiques the prevalence of "trolley problem" dilemmas in ethical literature, arguing that such scenarios are physically unrealistic and rare; instead, the primary ethical challenge is optimizing braking and speed to minimize impact, not choosing between victims. Finally, the paper addresses issues of external control, privacy, and security. It notes that traffic management systems may override individual route choices for efficiency, raising freedom concerns. The collection of vast amounts of personal data creates privacy risks, while the connectivity of vehicles introduces vulnerabilities to hacking and terrorism. The authors conclude that the ethical landscape of self-driving vehicles is defined by complex trade-offs, shifting responsibilities, and significant social friction, requiring a move away from abstract dilemma-solving toward practical, systemic ethical governance.

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