Legal Issues of Autonomous Vehicle Insurance

Eun Kyung Kim

doi:10.21188/clr.38.4.4

Legal Issues of Autonomous Vehicle Insurance

Commercial Law Review ◽

10.21188/clr.38.4.4 ◽

2020 ◽

Vol 38 (4) ◽

pp. 111-150

Author(s):

Eun Kyung Kim

Keyword(s):

Autonomous Vehicle ◽

Legal Issues

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A Genetic Approach to the Ethical Knob

Frontiers in Artificial Intelligence and Applications - Legal Knowledge and Information Systems ◽

10.3233/faia200854 ◽

2020 ◽

Author(s):

Giovanni Iacca ◽

Francesca Lagioia ◽

Andrea Loreggia ◽

Giovanni Sartor

Keyword(s):

Autonomous Vehicles ◽

Social Values ◽

Ethical Dilemmas ◽

Autonomous Vehicle ◽

Moral Dilemmas ◽

Legal Issues ◽

Genetic Approach ◽

Novel Approach ◽

New Perspective ◽

Accident Scenarios

As Autonomous vehicles (AVs) are entering shared roads, the challenge of designing and implementing a completely autonomous vehicle is still open. Aside from technological issues regarding how to manage the complexity of the environment, AVs raise difficult legal issues and ethical dilemmas, especially in unavoidable accident scenarios. In this context, a vast speculation depicting moral dilemmas has developed in recent years. A new perspective was proposed: an “Ethical Knob” (EK), enabling passengers to ethically customise their AVs, namely, to choose between different settings corresponding to different moral approaches or principles. In this contribution we explore how an AV can automatically learn to determine the value of its “Ethical Knob” in order to achieve a trade-off between the ethical preferences of passengers and social values, learning from experienced instances of collision. To this end, we propose a novel approach based on a genetic algorithm to optimize a population of neural networks. We report a detailed description of simulation experiments as well as possible applications.

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