Considerable advancements have been made in various NLP tasks based on the impressive power of large language models (LLMs) and many NLP applications are deployed in our daily lives. In this work, we challenge the capability of LLMs with the new task of Ethical Quandary Generative Question Answering. Ethical quandary questions are more challenging to address because multiple conflicting answers may exist to a single quandary. We explore the current capability of LLMs in providing an answer with a deliberative exchange of different perspectives to an ethical quandary, in the approach of Socratic philosophy, instead of providing a closed answer like an oracle. We propose a model that searches for different ethical principles applicable to the ethical quandary and generates an answer conditioned on the chosen principles through prompt-based few-shot learning. We also discuss the remaining challenges and ethical issues involved in this task and suggest the direction toward developing responsible NLP systems by incorporating human values explicitly.
翻译:基于大型语言模型(LLMs)的惊人力量,国家语言模型(LLMs)的各项任务取得了相当大的进展,许多国家语言模型的应用在日常生活中得到了应用。在这项工作中,我们对LLMs的能力提出了挑战,要求它执行伦理Quandary General 问题回答的新任务。伦理学上的问题更具挑战性,因为单小孔里可能存在多种相互冲突的答案。我们探索了LLMs目前的能力,即以思考的方式,从不同的角度对一个伦理学的临界进行回答,而不是像神话一样提供封闭式的答案。我们提出了一个模式,以寻找适用于伦理学二次学的不同伦理原则,并通过快速的微小的学习产生一个符合所选择原则的答案。我们还讨论了这项任务所涉及的其余挑战和伦理问题,并通过明确纳入人类价值观,提出发展负责任的国家语言模型系统的方向。