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/Report/Conference proceeding › Conference contribution

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	Industrial IoT, Big Data and Supply Chain (IIoTBDSC), International Conference on
Publisher	IEEE
Pages	322-328
Number of pages	7
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

Conference

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

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https://ieeexplore.ieee.org/document/10077133/Licence: Unspecified

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@inproceedings{9d5af8ddab2344ddb0bb794d24d9ebc3,

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.",

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

year = "2023",

month = mar,

day = "23",

doi = "10.1109/IIoTBDSC57192.2022.00066",

language = "English",

pages = "322--328",

booktitle = "Industrial IoT, Big Data and Supply Chain (IIoTBDSC), International Conference on",

publisher = "IEEE",

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

}

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

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.

U2 - 10.1109/IIoTBDSC57192.2022.00066

DO - 10.1109/IIoTBDSC57192.2022.00066

M3 - Conference contribution

SP - 322

EP - 328

BT - Industrial IoT, Big Data and Supply Chain (IIoTBDSC), International Conference on

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

Conference

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