Approaching the social dilemma of autonomous vehicles with a general social welfare function

Takeshi Ebina, Keita Kinjo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We consider the social dilemma related to the trolley problem in ethics regarding the driving behavior of an autonomous vehicle (AV) when there are passengers in the AV and pedestrians on the street. To investigate the optimal driving behaviors in different concepts of values, we introduce a general social welfare function (SWF) into our model that encompasses the three types of Bentham- (ρ=0), Nash- (ρ→1), and Rawls-type (ρ→∞) SWFs as a special case. Parameter ρ is key and represents the inequality aversion. We first demonstrate that the optimal solution continuously and monotonically moves from ρ=0 to ρ→∞. This result implies that the optimal solutions involving the Bentham- and Rawls-type SWFs are extreme (maximum or minimum value) solutions, whereas solutions involving the Nash-type SWF can be intermediate. Although some empirical studies have stated that it is better for a policymaker or AV manufacturer to employ Benthamism, our results suggest that care should be applied when choosing a driving behavior. Second, if the total utility of the passengers (or pedestrians) at the optimum is relatively large, our results indicate that the AV will likely go straight and hit the pedestrians (or swerve and crash into a wall) as ρ increases (or decreases). Finally, we discuss the applicability of our results in controlling AVs worldwide. We confirm that setting ρ=0 is preferred in the U.S., Canada, Australia, and some Western European countries, whereas setting ρ>0 is preferred in some African and Asian countries, such as China, India, and Japan.

Original languageEnglish
Article number104390
JournalEngineering Applications of Artificial Intelligence
Volume104
DOIs
Publication statusPublished - Sep 2021

Keywords

  • Autonomous driving
  • Social dilemma
  • Social welfare functions

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