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

Author:

Hyder Zeshan1,Siau Keng1,Nah Fiona1

Affiliation:

1. Missouri University of Science and Technology, Rolla, USA

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.

Publisher

IGI Global

Subject

Hardware and Architecture,Information Systems,Software

Reference29 articles.

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2. Chopra, A. (2017). What’s taking so long for driverless cars to go mainstream? Fortune. Retrieved from http://fortune.com/2017/07/22/driverless-cars-autonomous-vehicles-self-driving-uber-google-tesla/

3. Crozier, R. (2016). BHP Billiton hits go on autonomous drills. itnews.

4. Deloitte. (2017). Tracking the trends 2017: The top 10 trends mining companies will face in the coming year. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Energy-and-Resources/gx-er-tracking-the-trends-2017.pdf

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