Implementations in Machine Ethics: A Survey

Abstract

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and description of relevant works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested.

published version, journal paper, ACM Computing Surveys, 38 pages, 7 tables, 4 figures

References in corpus (2)

• European Union regulations on algorithmic decision-making and a "right to explanation"
• Automated Reasoning in Deontic Logic

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