为社会工作培训开发基于自然语言的人工智能聊天机器人:一个说明性案例研究

Q3 Social Sciences China Journal of Social Work Pub Date : 2023-03-05 DOI:10.1080/17525098.2023.2176901
Chitat Chan, Feng Li
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引用次数: 0

摘要

聊天机器人是一种用于模拟与人类用户对话的计算机程序。在社会服务中,许多聊天机器人都是基于检索的:它们分析用户的意图,并根据决策树逻辑检索预设的答案。这些早期聊天机器人的一个主要限制是,它们的对话死板、不自然,听起来像一份选择题问卷。最近在大规模生成预训练变压器(lgpt)(如GPT-3, Yuan 1.0)方面取得的成就为聊天机器人的开发提供了新的可能性。这种技术提供了高质量的自然语言体验,比早期的聊天机器人技术需要更少的资源投入,并且更容易为公众所接受。然而,在社会工作中使用基于lgpt的聊天机器人,特别是在中国的背景下,是不常见的,甚至是缺失的。本文通过一个说明性案例研究,说明了基于lgpt的聊天机器人的初步开发,以支持中国背景下的社会工作培训,并讨论了进一步开发的可能性。
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Developing a natural language-based AI-chatbot for social work training: an illustrative case study
ABSTRACT A chatbot is a computer program designed to simulate conversation with human users. In social services, many chatbots are retrieval based: they analyse users’ intents and retrieve preset answers based on decision tree logic. A major limitation of these earlier chatbots was that their conversations were rigid, unnatural, and sounded like a multiple-choice questionnaire. Recent achievements in large-scale generative pretrained transformers (LGPTs) (e.g. GPT-3, Yuan 1.0) have offered new possibilities for chatbot development. Such technology provides a high-quality natural language experience, requires much less resource input than earlier chatbot technologies, and is much more accessible to the public. However, the use of LGPT-based cfhatbots in social work, particularly in a Chinese context, is uncommon or even absent. Using an illustrative case study, this article illustrates the initial development of an LGPT-based chatbot to support social work training in a Chinese context and discusses the possibilities for further development.
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来源期刊
China Journal of Social Work
China Journal of Social Work Social Sciences-Sociology and Political Science
CiteScore
1.50
自引率
0.00%
发文量
24
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