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Ethical decision making for autonomous vehicles

Abstract : We address ethical dilemma situations that may arise during autonomous driving. To evaluate how this deliberation could work, we propose a decision-making algorithm based on a Markov Decision Process (MDP) which controls the vehicle in normal conditions. When a dilemma situation is detected, the collision severity is determined by an evaluation of the harm incurred by different types of road users. Then, to illustrate different moral approaches, three different policies are proposed: one based on ralwsian contractarianism, another on utilitarianism, and finally on egalitarianism. Each policy supports a different view of the concept of fairness, potentially producing different behaviors for the same dilemma situation.
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Contributor : Nelson de Moura Martins Gomes <>
Submitted on : Tuesday, November 24, 2020 - 8:24:45 PM
Last modification on : Wednesday, May 19, 2021 - 11:58:16 AM
Long-term archiving on: : Thursday, February 25, 2021 - 9:14:16 PM


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  • HAL Id : hal-03022605, version 1


Nelson de Moura, Raja Chatila, Katherine Evans, Stéphane Chauvier, Ebru Dogan. Ethical decision making for autonomous vehicles. IEEE Symposium on Intelligent Vehicle, Oct 2020, Las Vegas (virtual), United States. ⟨hal-03022605⟩



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