AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling

Mining engineers and environmental experts around the world still identify evaluate risks associated with mining activities using field-based, basic qualitative methods The main objective is to introduce an innovative AI-based approach for construction of impact assessment (EIA) indexes that statistically reflects takes into account relationships between different factors, finding relevant patterns in data minimizing influence human bias. For that, AutoML process developed Bayesian networks applied interactive EIA index tool capable assessing dynamically potential impacts a slate mine Galicia (Spain) surrounded by Natura 2000 Network. results obtained show moderate whole exploitation; however, strong need protect factors related surface subsurface runoff, species or soil degradation was identified, which information theory point weight 6 12 times greater than not influential variables.