Implementations in Machine Ethics A Survey

Suzanne Tolmeijer · Markus Kneer · Cristina Sarasua · Markus Christen · Abraham Bernstein

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Ethics and Social Impacts of AI Philosophical Ethics and Theory Ethics in Business and Education

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.

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References

1979Ethics: Inventing Right and Wrong.2016Building Theories from Case Study Research 2012Groundwork for the Metaphysics of Morals 2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2015Superintelligence: paths, dangers, strategies 2004Ethics Without Principles 2016The social dilemma of autonomous vehicles 2004On the Morality of Artificial Agents

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