文章基本信息

标题：Could a Conversational AI Identify Offensive Language?
本地全文：下载
作者：Daniela America da Silva ; Henrique Duarte Borges Louro ; Gildarcio Sousa Goncalves 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2021
卷号：12
期号：10
页码：418
DOI：10.3390/info12100418
语种：English
出版社：MDPI Publishing
摘要：In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI applications possible. Those algorithms are built based on historical data in order to create language models, however historical data could be intrinsically discriminatory. This article investigates whether a Conversational AI could identify offensive language and it will show how large language models often produce quite a bit of unethical behavior because of bias in the historical data. Our low-level proof-of-concept will present the challenges to detect offensive language in social media and it will discuss some steps to propitiate strong results in the detection of offensive language and unethical behavior using a Conversational AI.