Department   Undergraduate School  , School of Commerce
   Position   Professor
Language English
Publication Date 2021/09
Type Academic Journal
Peer Review Peer reviewed
Title "Approaching the Social Dilemma of Autonomous Vehicles with a General Social Welfare Function", Engineering Applications of Artificial Intelligence
Contribution Type Co-authored (first author)
Journal Engineering Applications of Artificial Intelligence
Journal TypeAnother Country
Publisher Elsevier
Volume, Issue, Page 104,pp.104390
Authorship Lead author,Corresponding author
Author and coauthor Takeshi Ebina and Keita Kinjo
Details 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. We introduce a general social welfare function (SWF) encompassing the three types of Bentham- ($\rho=0$), Nash- ($\rho\rightarrow1$), and Rawls-type ($\rho\rightarrow\infty$) SWFs as a special case. $\rho$ represents the inequality aversion. We first demonstrate that the optimal solution continuously and monotonically moves from $\rho=0$ to $\rho\rightarrow\infty$. This implies that the optimal solutions involving the Bentham- and Rawls-type SWFs are extreme solutions, whereas solutions involving the Nash-type SWF can be intermediate. Second, we discuss the applicability of our results worldwide. We confirm setting that $\rho=0$ is preferred in the U.S., Canada, and some Western European countries, whereas setting $\rho>0$ is preferred in some African and Asian countries.
URL for researchmap https://researchmap.jp/ebinatakeshi2010