Gibbons, S & Tomlin, C 2025, 'Generating a Global Industry Standard on Tailings Management knowledge base: 
harnessing artificial intelligence for enhanced decision-making in tailings management ', in S Knutsson, AB Fourie & M Tibbett (eds), Mine Closure 2025: Proceedings of the 18th International Conference on Mine Closure, Australian Centre for Geomechanics, Perth, pp. 1-19, https://doi.org/10.36487/ACG_repo/2515_66
(https://papers.acg.uwa.edu.au/p/2515_66_Tomlin/)
Abstract: The modern world is accustomed to seeing news articles either praising the use of artificial intelligence (AI) or lamenting the dangers it poses to humanity. Large corporations integrate AI into workflows to facilitate faster and more in-depth analyses of vast data sets. But how does general AI fit into everyday work lives? Is one confined to asking generic or censored questions to public AI tools, or, if fortunate, accessing some form of in-house AI support? The good news is that AI use is not limited, and a multi-million-dollar implementation is not needed to embark on this journey.
This paper explores how AI tools have been utilised, and specifically how it can support a range of requirements under the Global Industry Standard on Tailings Management (GISTM) by helping collate and curate knowledge on tailings, as well as reviewing archived documents and studies. It also investigates how that information can be interrogated, free from the realm of misinformation on the wider web, as well as provide an analysis of how portfolios of sites can share data and, when necessary, make comparisons with publicly available information. The intent of these tools is to enable gathering of information that aids in making better decisions and identifying areas requiring deeper understanding.

Keywords: GISTM, tailings, knowledge base, artificial intelligence, mining