Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations
Benjamin Krarup, Felix Lindner, Senka Krivic, Derek Long
- 发表年份
- 2022
- 访问权限
- 开放获取
摘要
The continued development of robots has enabled their wider usage in human surroundings. Robots are more trusted to make increasingly important decisions with potentially critical outcomes. Therefore, it is essential to consider the ethical principles under which robots operate. In this paper we examine how contrastive and non-contrastive explanations can be used in understanding the ethics of robot action plans. We build upon an existing ethical framework to allow users to make suggestions about plans and receive automatically generated contrastive explanations. Results of a user study indicate that the generated explanations help humans to understand the ethical principles that underlie a robot's plan.
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