Guest Editorial:Special issue on trustworthy machine learning for behavioural and social computing
作者机构:Nankai UniversityTianjinChina Deakin UniversityBurwoodVictoriaAustralia Macquarie UniversitySydneyNew South WalesAustralia Khalifa UniversityAbu DhabiUAE
出 版 物:《CAAI Transactions on Intelligence Technology》 (智能技术学报(英文))
年 卷 期:2024年第9卷第3期
页 面:541-543页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080202[工学-机械电子工程] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
摘 要:Machine learning has been extensively applied in behavioural and social computing,encompassing a spectrum of applications such as social network analysis,click stream analysis,recommendation of points of interest,and sentiment *** datasets pertinent to these applications are inherently linked to human behaviour and societal dynamics,posing a risk of disclosing personal or sensitive information if mishandled or subjected to attacks.