Use of artificial intelligence, machine learning, and autonomous technologies in the mining industry

• Main Authors: HYDER, Z., SIAU, Keng, NAH, Fiona Fui-hoon
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Artificial intelligence; autonomous technology; machine learning; mining industry; autonomous trucks; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9406; https://ink.library.smu.edu.sg/context/sis_research/article/10406/viewcontent/Use_of_Artificial_Intelligence__Machine_Learning__and_Autonomous_Technologies_in_the_Mining_Industry.pdf
• Institution: Singapore Management University

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.