论文标题
情境化的道德推论
Contextualized moral inference
论文作者
论文摘要
在过去的几十年中，智能系统中发展道德意识已从哲学探究的话题转变为人工智能中的批判性和实用问题。但是，日常道德情况的自动推断仍然是一个不足的问题。我们提出了一种基于文本的方法，可以预测人们对道德小插曲的直观判断。我们的方法基于上下文化语言模型的最新工作和道德情感的文本推断。我们表明，在推断人类道德判断的过程中，基于单词嵌入和情感情绪的替代表示，有一个实质性的表述，在道德心理学的三个独立数据集中进行了评估和反思。我们讨论了自动化文本道德推理的方法和局限性。
Developing moral awareness in intelligent systems has shifted from a topic of philosophical inquiry to a critical and practical issue in artificial intelligence over the past decades. However, automated inference of everyday moral situations remains an under-explored problem. We present a text-based approach that predicts people's intuitive judgment of moral vignettes. Our methodology builds on recent work in contextualized language models and textual inference of moral sentiment. We show that a contextualized representation offers a substantial advantage over alternative representations based on word embeddings and emotion sentiment in inferring human moral judgment, evaluated and reflected in three independent datasets from moral psychology. We discuss the promise and limitations of our approach toward automated textual moral reasoning.
