To understand this part fully you need to look at the first part of this series:

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Regarding the ethics setting taxonomy described in ETHICS SETTINGS FOR AUTONOMOUS VEHICLES by Jason Millar (2017), the rear-ended collision setting belongs to high-stack non-expertise-based ethics settings. Thus, it is a hard case. AV system engineers cannot solve the issue alone. Although they can improve their system and decrease the rear-ended chances, they need input from users and regulators to obtain a robust decision-making system while facing an inevitable collision dilemma.

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Should we implement the rear-end collisions avoidance system in the autonomous vehicle? Before answering this question, I want to share one incident: Suddenly a little tree branch pokes out onto a busy highway and there is no oncoming traffic. In this situation, a human driver would simply drift a little into the opposite lane and drive around it. On the other hand, a driverless car might come to a full stop 2 or 3 meters ahead of that branch because it can detect it from its forward sensors, also it dutifully observes traffic laws that prohibit crossing a double-yellow line. …

Md. Aminur Rab Ratul

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