https://ir.zou.ac.zw/files/original/b358eeb8a2ed14326b8340ddb6f39b5f.pdf 1f4df5a74cbbfe3709b3354bcb64f257 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Staff Publications Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ARTIFICIAL INTELLIGENCE AND TRAINING: OPPORTUNITIES AND CHALLENGES IN THE ZIMBABWEAN MINING INDUSTRY Creator An entity primarily responsible for making the resource REGIS MISHEAL MUCHOWE Description An account of the resource Artificial intelligenceis Each and every aspect of our society has been changed by artificial intel- ligence. Artificial intelligence still a new phenomenon in Zimbabwe. The main thrust Each and every aspect of our society has been changed by artificial intelligence. Artificial intelligence is still a new phenomenon in Zimbabwe. The main thrust of this research was to understand the opportunities and challenges of artificial intelligence in training activities in the mining industry. This study was guided by understand training activities that can be transformed by artificial intelligence. The study determined the challenges of using artificial intelligence in training. The investigator obtained data through telephone interviews that were conducted with 10 participants from the Zimbabwe Mining Industry. The investigation employed judgemental, convenient and snowball sampling. The study found that there is low use of artificial intelligence in the training activities, but there are activities that can be undertaken by artificial intelligence that include induction, online training, and refresher courses. Expensiveness, lack of skills, loss of jobs, cul- tural and ethical implications were found to be challenges associated with the use of artificial intelligence in the employee appointment process. Efficiency, effectiveness, enhanced trainee experience, reduced costs and organisation brand were found to be benefits of employing artifi- cial intelligence in training. The study recommends partnerships to be developed among mining organisations, higher and tertiary education, and technology enterprises to develop artificial intelligence software that can cost-effectively meet the needs of trainers. Publisher An entity responsible for making the resource available MET Mangement Review - MMR Date A point or period of time associated with an event in the lifecycle of the resource 2024 Artificial Intelligence development Human Resources Mining Sector Training