Application-Agnostic Chatbot Deployment Considerations: A Case Study

Pablo Rivas, Chelsi Chelsi, Nishit Nishit, Laharika Ravula
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引用次数: 2

Abstract

Advances in machine learning are making possible the interaction between humans and machines, coming closer to passing the Turing test. Chatbots, specifically, are a technology that uses the latest advances in natural language processing and machine learning to understand text and produce text in response to input. While this is an important achievement today, we must consider specific challenges that chatbot deployments might pose. This paper looks back to a historical event that took place in 2016 with the purpose of extracting important, memorable, lessons. The study suggests that certain assumptions with respect to societal values are of paramount importance and need to be considered carefully along with a proper platform selection.
与应用程序无关的聊天机器人部署注意事项:案例研究
机器学习的进步使人与机器之间的互动成为可能,更接近通过图灵测试。具体来说,聊天机器人是一种利用自然语言处理和机器学习的最新进展来理解文本并根据输入生成文本的技术。虽然这是今天的一项重要成就,但我们必须考虑到聊天机器人部署可能带来的具体挑战。本文回顾了发生在2016年的一个历史事件,目的是提取重要的、难忘的教训。该研究表明,关于社会价值的某些假设是至关重要的,需要与适当的平台选择一起仔细考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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