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Carl Shulman, Henrik Jonsson, and Nick Tarleton Machine ethics and superintelligence incollection The developing academic field of machine ethics seeks to make artificial agents safer as they become more pervasive throughout society. Motivated by planned next-generation robotic systems, machine ethics typically explores solutions for agents with autonomous capacities intermediate between those of current artificial agents and humans, with de- signs developed incrementally by and embedded in a society of human agents. These assumptions substantially simplify the problem of designing a desirable agent and re- flect the near-term future well, but there are also cases in which they do not hold. In particular, they need not apply to artificial agents with human-level or greater capabili- ties. The potentially very large impacts of such agents suggest that advance analysis and research is valuable. We describe some of the additional challenges such scenarios pose for machine ethics.

Machine ethics and superintelligence

Carl Shulman, Henrik Jonsson, and Nick Tarleton

In Carson Reynolds and Alvaro Cassinelli (eds.) AP-CAP 2009: The Fifth Asia-Pacific Computing and Philosophy Conference, October 1st-2nd, University of Tokyo, Japan, Proceedings, 2009, pp. 95–97

Abstract

The developing academic field of machine ethics seeks to make artificial agents safer as they become more pervasive throughout society. Motivated by planned next-generation robotic systems, machine ethics typically explores solutions for agents with autonomous capacities intermediate between those of current artificial agents and humans, with de- signs developed incrementally by and embedded in a society of human agents. These assumptions substantially simplify the problem of designing a desirable agent and re- flect the near-term future well, but there are also cases in which they do not hold. In particular, they need not apply to artificial agents with human-level or greater capabili- ties. The potentially very large impacts of such agents suggest that advance analysis and research is valuable. We describe some of the additional challenges such scenarios pose for machine ethics.

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