TY - GEN
T1 - Artificial Intelligence Ethics and Applications
AU - Xu, Qianwen Ariel
AU - Chang, Victor
AU - Gokaraneni, Nihal
AU - Ganatra, Meghana
AU - Wong, Siu Tung
AU - Li, Jie
N1 - Copyright ©2022 IEEE
PY - 2023/3/23
Y1 - 2023/3/23
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - big data
KW - smart manufacturing
KW - ethical issues
KW - intelligent data analytics
UR - https://ieeexplore.ieee.org/document/10077133
U2 - 10.1109/IIoTBDSC57192.2022.00066
DO - 10.1109/IIoTBDSC57192.2022.00066
M3 - Conference publication
T3 - Proceedings - 2022 International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2022
SP - 322
EP - 328
BT - 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
PB - IEEE
T2 - 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Y2 - 23 September 2022 through 25 September 2022
ER -