Pablo Rivas, Chelsi Chelsi, Nishit Nishit, Laharika Ravula
{"title":"Application-Agnostic Chatbot Deployment Considerations: A Case Study","authors":"Pablo Rivas, Chelsi Chelsi, Nishit Nishit, Laharika Ravula","doi":"10.1109/CSCI49370.2019.00070","DOIUrl":null,"url":null,"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.","PeriodicalId":103662,"journal":{"name":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI49370.2019.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.