A Rawlsian algorithm for autonomous vehicles
Ethics and Information Technology 19 (2):107-115 (2017)
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.Author's Profile
DOI
10.1007/s10676-017-9419-3
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Citations of this work
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.
The ethics of crashes with self‐driving cars: A roadmap, I.Sven Nyholm - 2018 - Philosophy Compass 13 (7):e12507.
Virtuous vs. utilitarian artificial moral agents.William A. Bauer - 2020 - AI and Society (1):263-271.
The Ethical Knob: ethically-customisable automated vehicles and the law.Giuseppe Contissa, Francesca Lagioia & Giovanni Sartor - 2017 - Artificial Intelligence and Law 25 (3):365-378.
References found in this work
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The Stag Hunt and the Evolution of Social Structure.Brian Skyrms - 2003 - Cambridge University Press.
Natural Justice: Walter Scott and the Story of Tomorrow.Ken Binmore - 2005 - Oxford University Press.