Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2018

Abstract

Mining is an important industrial and economic sector that plays a major role in the economic development of a country and provides many employment opportunities. Implementation of Artificial Intelligence (AI), machine learning, and autonomous technologies in the mining industry started about a decade ago with the first application to autonomous trucks. The autonomous technologies provide many economic benefits to the mining industry through cost reduction, productivity improvement, reduction in exposure of workers to hazardous conditions, continuous production, and improved safety. However, implementation of these technologies has faced economic, financial, technological, workforce, and social challenges. This paper discusses the current status of AI, machine learning, and autonomous technologiesimplementation in the mining industry, challenges resulting from these technologies, strategies to overcome these challenges, and questions for future research.

Keywords

Artificial intelligence, autonomous technology, machine learning, mining industry, autonomous trucks

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems

Research Areas

Information Systems and Management

Areas of Excellence

Digital transformation

Publication

Proceedings of the Thirteenth Annual Midwest Association for Information Systems Conference (MWAIS 2018), St. Louis, Missouri, May 17-18.

First Page

1

Last Page

5

Publisher

MWAIS

City or Country

Louis, Missouri

Additional URL

https://aisel.aisnet.org/mwais2018/43

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