Artificial Intelligence, Machine Learning, and Autonomous Technologies in Mining Industry

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationResearch Anthology on Cross-Disciplinary Designs and Applications of Automation
Place of PublicationHershey, PA
PublisherIGI Global
Chapter24
Pages478-492
ISBN (electronic)9781668436950
ISBN (print)9781668436943
Publication statusPublished - 2022
Externally publishedYes

Abstract

The implementation of artificial intelligence (AI), machine learning, and autonomous technologies in the mining industry started about a decade ago with autonomous trucks. Artificial intelligence, machine learning, and autonomous technologies provide many economic benefits for the mining industry through cost reduction, efficiency, and improving productivity, reducing exposure of workers to hazardous conditions, continuous production, and improved safety. However, the implementation of these technologies has faced economic, financial, technological, workforce, and social challenges. This article discusses the current status of AI, machine learning, and autonomous technologies implementation in the mining industry and highlights potential areas of future application. The article presents the results of interviews with some of the stakeholders in the industry and what their perceptions are about the threats, challenges, benefits, and potential impacts of these advanced technologies. The article also presents their views on the future of these technologies and what are some of the steps needed for successful implementation of these technologies in this sector.

Bibliographic Note

This is a reprint of: Hyder, Z., Siau, K., & Nah, F. (2019). Artificial intelligence, machine learning, and autonomous technologies in mining industry. Journal of Database Management, 30(2), 67-79. https://doi.org/10.4018/JDM.2019040104

Citation Format(s)

Artificial Intelligence, Machine Learning, and Autonomous Technologies in Mining Industry. / Hyder, Zeshan; Siau, Keng; Nah, Fiona.
Research Anthology on Cross-Disciplinary Designs and Applications of Automation. Hershey, PA: IGI Global, 2022. p. 478-492.

Research output: Chapters, Conference Papers, Creative and Literary WorksReprint in bookpeer-review