Artificial Intelligence Ethics and Applications

Qianwen Ariel Xu, Victor Chang, Nihal Gokaraneni, Meghana Ganatra, Siu Tung Wong, Jie Li

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Intelligent Data Analytics is a valuable technique for analyzing the more profound values covered within the endless streams of information created in our lives nowadays. It has been applied to a variety of domains, such as healthcare, social media, manufacturing industries, etc. In particular, it significantly improves manufacturing systems by conducting scheduling, monitoring, quality evaluation, and failure detection, which are the most typical industrial activities. While Intelligent Data Analytics brings numerous benefits to the manufacturing industry and helps address its challenges, several new ethical issues also arise. This paper identifies the challenges faced by the manufacturing sector and introduces how the applications of Intelligent Big Data Analytics address these issues. In addition, it identifies the benefits it brings and the ethical issues it faces.
Original languageEnglish
Title of host publication2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
PublisherIEEE
Pages322-328
Number of pages6
ISBN (Electronic)9781665454551
DOIs
Publication statusPublished - 23 Mar 2023
Event2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) - Beijing, China
Duration: 23 Sept 202225 Sept 2022

Publication series

NameProceedings - 2022 International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2022

Conference

Conference2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Country/TerritoryChina
CityBeijing
Period23/09/2225/09/22

Bibliographical note

Copyright ©2022 IEEE

Keywords

  • artificial intelligence
  • big data
  • smart manufacturing
  • ethical issues
  • intelligent data analytics

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