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July 1, 2006IEEE Intelligent Systems682 citations

The Nature, Importance, and Difficulty of Machine Ethics

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JMJames H. Moor

Key Points

  • The central aim is to understand the development of machines as explicit ethical agents.
  • Discussed various classifications of machines as ethical agents: ethical-impact, implicit, explicit, and full agents.
  • Analyzed the role of ethics in machine learning and cognition.
  • Identified the necessity of better understanding ethics for successful machine development.
  • Highlighted significant challenges in creating machines that function as explicit ethical agents.

Abstract

Machine ethics has a broad range of possible implementations in computer technology--from maintaining detailed records in hospital databases to overseeing emergency team movements after a disaster. From a machine ethics perspective, you can look at machines as ethical-impact agents, implicit ethical agents, explicit ethical agents, or full ethical agents. A current research challenge is to develop machines that are explicit ethical agents. This research is important, but accomplishing this goal will be extremely difficult without a better understanding of ethics and of machine learning and cognition. This article is part of a special issue on Machine Ethics.

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Cite This Study

James H. Moor (2006) studied this question.

synapsesocial.com/papers/6a08bdeb7de338f10b10f9a5https://doi.org/10.1109/mis.2006.80
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