人工智能学习识别网上恶意内容  

AI Is Learning to Identify Toxic Online Content

作　　者：劳拉·哈努 郭晓阳(译) Laura Hanu

机构地区：[1]不详

出　　处：《英语世界》2022年第5期69-73,共5页The World of English

摘　　要：机器学习系统可帮助标记仇恨性、威胁性或攻击性言论。大大小小的社交平台都在竭力保障用户远离仇恨言论、极端内容、网络骚扰及错误信息。人工智能或可成为一种解决方案:开发算法来检测恶意和煽动性言论,打上删除标记,并向我们发出警告。但此类系统面临重大挑战。Machine-learning systems could help flag hateful,threatening or offensive language.Social platforms large and small are struggling to keep their communities safe from hate speech,extremist content,harassment and misinformation.One solution might be AI:developing algorithms to detect and alert us to toxic and inflammatory comments and flag them for removal.But such systems face big challenges.

关 键 词：人工智能 错误信息 机器学习系统 社交平台 删除标记 重大挑战 解决方案 威胁性 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]