Abstract
The inclusion of autonomous robots among everyday human environments has suggested that these robots will be facing ethical decisions regarding trade-offs where machines will choose some human attributes over the attributes of other humans. We argue in this paper that on a regular instance, algorithms for such decisions should not only be deterministic but instead, the decision will be better framed as an optimal mixed strategy in the sense of Nash equilibria in game theory.
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Alaieri F, Vellino A (2016) Ethical decision making in robots: autonomy, trust and responsibility. In: Agah A, Cabibihan JJ, Howard AM, Salichs MA, He H (eds) Social robotics: 8th international conference, ICSR, Springer International Publishing, Cham, pp 159–168
Bonnefon JF, Shariff A, Rahwan I (2016) The social dilemma of autonomous vehicles. Science 352(6293):1573–1576
Di Fabio U, et al (2017) Ethics commission automated and connected driving. Technical report, Federal Ministry of Transport and Digital Infrastructure, Germany www.mbdi.de
Diestel R (1997) Graph theory. Springer, New York
Dodig-Crnkovic G, Persson D (2008) Sharing moral responsibility with robots: a pragmatic approach. In: Proceedings of the 2008 conference on tenth Scandinavian conference on artificial intelligence: SCAI 2008, IOS Press, Amsterdam, The Netherlands, pp 165–168
Govindan S, Wilson R (2003) A global Newton method to compute Nash equilibria. J Econ Theory 110(1):65–86
Greene JD (2016) Our driverless dilemma. Science 352(6293):1514–1515
Hall JS (2011) Ethics for machines. In: Anderson M, Anderson SL (eds) Machine ethics (Chap. 3). Cambridge University Press, Cambridge, pp 28–44
Kadar EE, Köszeghy A, Virk GS (2017) Safety and ethical concerns in mixed human-robot control of vehicles. In: Aldinhas Ferreira MI, Silva Sequeira J, Tokhi MO, Kadar EE, Virk GS (eds) A world with robots: international conference on robot ethics: ICRE 2015. Springer International Publishing, Cham, pp 135–144
Lemke CE, Howson JT (1964) Equilibrium points of bimatrix games. J SIAM 12(2):413–423
Moore S (1999) Driverless cars should sacrifice their passengers for the greater good just not when I’m the passenger. The Conversation Media Group Ltd https://theconversation.com/driverless-cars-should-sacrifice-their-passengers-for-the-greater-good-just-not-when-im-the-passenger-61363
Myerson RB (1997) Game theory: analysis of conflict. Harvard University Press, Cambridge, MA
Nash JF (1950) Equilibrium points in N-Person games. Natl Acad Sci USA 36(1):48–49. http://www.pnas.org/content/36/1/48.full.pdf+html
Porter R, Nudelman E, Shoham Y (2004) Simple search methods for finding a Nash equilibrium. In: McGuinness DL, Ferguson G (eds) AAAI-04, 19th national conference on artificial intelligence, 16th conference on innovative applications of artificial intelligence, AAAI/MIT Press, San Jose, California, pp 664–669
R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria http://www.R-project.org/
Rahwan I (2017) What moral decisions should driverless cars make? TED talks, TED.com
Savani R, von Stengel B (2004) Exponentially many steps for finding a nash equilibrium in a bimatrix game. In: FOCS-04, 45th annual ieee symposium on foundations of computer science. IEEE Computer Soc., pp 258–267
Scheutz M, Malle BF (2014) Think and do the right thing - a plea for morally competent autonomous robots. In: 2014 IEEE international symposium on ethics in science, technology and engineering, pp 1–4
von Stengel B (2002) Computing equilibria for two-person games. In: Aumann RJ, Hart S (eds) Handbook of game theory, vol 3 (Chap. 45). Elsevier, North-Holland, Amsterdam, pp 1723–1759
Winfield AFT, Blum C, Liu W (2014) Towards an ethical robot: internal models, consequences and ethical action selection. In: Mistry M, Leonardis A, Witkowski M, Melhuish C (eds) Advances in autonomous robotics systems - 15th Annual Conference, TAROS, vol 8717, Springer, LNCS, pp 85–96
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Estivill-Castro, V. (2019). Game Theory Formulation for Ethical Decision Making. In: Aldinhas Ferreira, M., Silva Sequeira, J., Singh Virk, G., Tokhi, M., E. Kadar, E. (eds) Robotics and Well-Being. Intelligent Systems, Control and Automation: Science and Engineering, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-12524-0_4
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DOI: https://doi.org/10.1007/978-3-030-12524-0_4
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