话语
模棱两可
自反性
计算机科学
背景(考古学)
机器人
建筑
人机交互
自然(考古学)
反射(计算机编程)
自然语言
人机交互
认知科学
人工智能
心理学
程序设计语言
社会学
古生物学
视觉艺术
考古
艺术
历史
生物
社会科学
作者
Ryan Blake Jackson,Tom Williams
出处
期刊:ACM transactions on human-robot interaction
[Association for Computing Machinery]
日期:2022-03-04
卷期号:11 (2): 1-18
被引量:4
摘要
The design of current natural language-oriented robot architectures enables certain architectural components to circumvent moral reasoning capabilities. One example of this is reflexive generation of clarification requests as soon as referential ambiguity is detected in a human utterance. As shown in previous research, this can lead robots to (1) miscommunicate their moral dispositions and (2) weaken human perception or application of moral norms within their current context. We present a solution to these problems by performing moral reasoning on each potential disambiguation of an ambiguous human utterance and responding accordingly, rather than immediately and naively requesting clarification. We implement our solution in the Distributed Integrated Cognition Affect and Reflection robot architecture, which, to our knowledge, is the only current robot architecture with both moral reasoning and clarification request generation capabilities. We then evaluate our method with a human subjects experiment, the results of which indicate that our approach successfully ameliorates the two identified concerns.
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