@inproceedings{3535d1674534494bba702f1da568222a,
title = "Can AI Teach Humans? Humans AI Collaboration for Lifelong Machine Learning",
abstract = "Humans always play the role of a teacher to AI in the last decades. One day, AI will become wiser than humans in various fields. At that time, humans need to learn from AI to improve themselves. However, most of the current high-performance machine learning models are black boxes and challenging to understand. So a system with better explainability is needed to help humans to understand AI therefore, the authors proposed a double-track approach to use expert systems to supplement the current machine learning paradigm to solve this problem. Under lifelong machine learning, the double-track approach can be wiser and wiser and achieve high performance but keeps outstanding explainability.",
keywords = "Expert System, Knowledge Base, Lifelong Machine Learning",
author = "Xianbin Hong and Guan, {Sheng Uei} and Wong, {Prudence W.H.} and Nian Xue and Man, {Ka Lok} and Dawei Liu",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 4th International Conference on Data Science and Information Technology, DSIT 2021 ; Conference date: 23-07-2021 Through 25-07-2021",
year = "2021",
month = jul,
day = "23",
doi = "10.1145/3478905.3478992",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "427--432",
booktitle = "2021 4th International Conference on Data Science and Information Technology, DSIT 2021",
}