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HEALTH AND SAFETY OF WORKERS IN THE MINING INDUSTRY FOLLOWING THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE

Matei Andrada Denisa, Ligia Ioana Tuhuţ, Morar Marius Simion, Cioara Cristian Raul, Florein Manea

First published: 2024-11-15https://doi.org/10.5593/sgem2024/1.1/s03.40View metrics

Abstract

Artificial intelligence (AI) is well known as a robust technique that can support and improve the quality of human life. In the mining industry, the applications of artificial intelligence have changed the sciences and technologies as well as the performance of the mining industry through machine learning, autonomous technologies that provide many economic benefits to the mining industry by reducing costs, efficiency and improving productivity. In principle, reducing the exposure of workers to hazardous conditions, continuous production and improved safety are the most beneficial factors of the implementation of artificial intelligence in the mining sector, coming to the aid of workers in this field. In recent years, the adoption of artificial intelligence has changed the game in the mining industry by enabling more efficient exploration, taking automation to new levels, generating higher yields, improving safety and maximizing extraction, maintenance and operational performance. This paper aims to highlight the multiple advantages that the implementation of artificial intelligence in the mining industry has for the health and safety of mining workers.

Publication Impact Profile

Dimensions ID: pub.1183084637

Publication details

Title
HEALTH AND SAFETY OF WORKERS IN THE MINING INDUSTRY FOLLOWING THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE
Authors
Matei Andrada Denisa, Ligia Ioana Tuhuţ, Morar Marius Simion, Cioara Cristian Raul, Florein Manea
Proceedings
24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Science and Technologies in Geology, Exploration And Mining, Vol 24, Issue 1.1
Publisher
STEF92 Technology
Year
2024
Pages
303-310
SWS Citekey
Denisa20243303310
ISSN
1314-2704; 13142704
ISBN
9786197603675
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References9
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Citing literature

Number of times cited according to Crossref: 1

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