Artificial Intelligence Ethics and Applications

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

doi:10.1109/IIoTBDSC57192.2022.00066

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 output › Conference 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 language	English
Title of host publication	2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Publisher	IEEE
Pages	322-328
Number of pages	6
ISBN (Electronic)	9781665454551
DOIs	https://doi.org/10.1109/IIoTBDSC57192.2022.00066
Publication status	Published - 23 Mar 2023
Event	2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) - Beijing, China Duration: 23 Sept 2022 → 25 Sept 2022

Publication series

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

Conference

Conference	2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Country/Territory	China
City	Beijing
Period	23/09/22 → 25/09/22

Bibliographical note

Keywords

artificial intelligence
big data
smart manufacturing
ethical issues
intelligent data analytics

Access to Document

10.1109/IIoTBDSC57192.2022.00066

Cite this

Xu, Q. A., Chang, V., Gokaraneni, N., Ganatra, M., Wong, S. T., & Li, J. (2023). Artificial Intelligence Ethics and Applications. In 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) (pp. 322-328). (Proceedings - 2022 International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2022). IEEE. https://doi.org/10.1109/IIoTBDSC57192.2022.00066

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title = "Artificial Intelligence Ethics and Applications",

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.",

keywords = "artificial intelligence, big data, smart manufacturing, ethical issues, intelligent data analytics",

author = "Xu, {Qianwen Ariel} and Victor Chang and Nihal Gokaraneni and Meghana Ganatra and Wong, {Siu Tung} and Jie Li",

note = "Copyright {\textcopyright}2022 IEEE; 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) ; Conference date: 23-09-2022 Through 25-09-2022",

year = "2023",

month = mar,

day = "23",

doi = "10.1109/IIoTBDSC57192.2022.00066",

language = "English",

series = "Proceedings - 2022 International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2022",

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Xu, QA , Chang, V, Gokaraneni, N, Ganatra, M, Wong, ST & Li, J 2023, Artificial Intelligence Ethics and Applications. in 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). Proceedings - 2022 International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2022, IEEE, pp. 322-328, 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), Beijing, China, 23/09/22. https://doi.org/10.1109/IIoTBDSC57192.2022.00066

Artificial Intelligence Ethics and Applications. / Xu, Qianwen Ariel ; Chang, Victor; Gokaraneni, Nihal et al.
2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2023. p. 322-328 (Proceedings - 2022 International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2022).

Research output: Chapter in Book/Published conference output › Conference publication

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

PY - 2023/3/23

Y1 - 2023/3/23

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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 -

Artificial Intelligence Ethics and Applications

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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