A Rawlsian algorithm for autonomous vehicles

Ethics and Information Technology 19 (2):107-115 (2017)

Authors
Derek Leben
University of Pittsburgh at Johnstown
Abstract
Autonomous vehicles must be programmed with procedures for dealing with trolley-style dilemmas where actions result in harm to either pedestrians or passengers. This paper outlines a Rawlsian algorithm as an alternative to the Utilitarian solution. The algorithm will gather the vehicle’s estimation of probability of survival for each person in each action, then calculate which action a self-interested person would agree to if he or she were in an original bargaining position of fairness. I will employ Rawls’ assumption that the Maximin procedure is what self-interested agents would use from an original position, and then show how the Maximin procedure can be operationalized to produce unique outputs over probabilities of survival.
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DOI 10.1007/s10676-017-9419-3
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Why Trolley Problems Matter for the Ethics of Automated Vehicles.Geoff Keeling - 2020 - Science and Engineering Ethics 26 (1):293-307.
Society-in-the-Loop: Programming the Algorithmic Social Contract.Iyad Rahwan - 2018 - Ethics and Information Technology 20 (1):5-14.

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