Practical challenges in explicit ethical machine reasoning

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Abstract

We examine implemented systems for ethical machine reasoning with a view to identifying the practical challenges (as opposed to philosophical challenges) posed by the area. We identify a need for complex ethical machine reasoning not only to be multi-objective, proactive, and scrutable but that it must draw on heterogeneous evidential reasoning. We also argue that, in many cases, it needs to operate in real time and be verifiable. We propose a general architecture involving a declarative ethical arbiter which draws upon multiple evidential reasoners each responsible for a particular ethical feature of the system’s environment. We claim that this architecture enables some separation of concerns among the practical challenges that ethical machine reasoning poses.
Original languageUndefined
Title of host publicationInternational Symposium on Artificial Intelligence and Mathematics, ISAIM 2018
Publication statusPublished - 5 Jan 2018

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