Responsibility for Crashes of Autonomous Vehicles: An Ethical Analysis

Hevelke, Alexander; Nida-Rümelin, Julian · 2014 · OpenAlex-citations

DOI: 10.1007/s11948-014-9565-5

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Summary

This paper addresses the ethical and legal question of who should bear responsibility for accidents involving fully autonomous vehicles. As companies develop self-driving cars, determining liability is crucial for both legal frameworks and moral justification. The authors assume that autonomous vehicles will eventually be safer than human-driven ones, making their widespread adoption morally desirable due to the potential reduction in traffic fatalities. The analysis focuses on three primary models of liability: manufacturer responsibility, user responsibility based on a duty to intervene, and user responsibility as a form of strict liability. The authors first examine holding manufacturers liable. While manufacturers are ultimately responsible for the product, placing prohibitive liability burdens on them could stifle the development and improvement of autonomous technology. The authors argue that if autonomous cars save lives, there is a strong moral obligation for the state to design liability laws that promote their development, provided no specific group faces increased risks. They refute concerns that autonomous cars merely "trade" lives by arguing that safety improvements benefit all individuals probabilistically, similar to seatbelts, rather than sacrificing specific victims for the greater good. Next, the paper evaluates imposing a duty on users to monitor the road and intervene in emergencies. This approach is deemed morally permissible only if users have a realistic chance to prevent accidents. However, the authors argue that as autonomous systems become more sophisticated and safer than human drivers, accidents will become less frequent and harder to predict. Consequently, expecting users to maintain constant attention is likely impractical and ineffective. Holding users liable for failing to intervene when they lacked the capacity to do so constitutes moral defamation, as it falsely blames individuals for outcomes beyond their control. Finally, the authors explore strict liability, where users are held responsible for the risk of using the vehicle regardless of their ability to intervene. They distinguish between two scenarios: holding the individual user personally liable for accidents (Scenario B) or distributing the cost across all users via a collective mechanism like mandatory insurance or taxes (Scenario A). The authors reject Scenario B, arguing that attributing blame based on "moral luck" is logically flawed and unjust. Instead, they endorse Scenario A, where users share the financial burden of accidents as a consequence of participating in a risky practice. In conclusion, the authors recommend a hybrid approach. During the transitional phase of autonomous vehicle development, a duty to intervene may be appropriate if users can effectively prevent accidents. However, once technology reaches a level where human intervention is ineffective, liability should shift to a collective strict liability model for users, such as mandatory insurance. Manufacturer liability should remain limited to cases of known defects or negligence to ensure continued innovation, while acknowledging the moral imperative to reduce traffic deaths through safer autonomous systems.

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