AI-enabled assessment is transforming mining regulation by automating document review, accelerating assessments, and empowering regulators to focus on better decisions and community outcomes.
What if Assessment Officers could spend less time navigating documents and more time shaping better futures for communities and the environment? Mining applications are now larger and more complex than ever. The future of impact assessment will not be defined by the number of reports reviewed, but by how effectively knowledge is translated into better decisions, conditions and outcomes. The Department for Energy and Mining, in partnership with LOFTYAI, is using AI to reimagine assessment of impact assessments provided in mining applications. The platform rapidly analyses large volumes of technical documentation, extracts key information, identifies inconsistencies and evidence gaps, and generates structured insights to support regulatory decisions. The results are already significant. Early-stage application acceptance assessments that previously took up to two weeks can now be completed in thirty minutes. Looking ahead, DEM and LOFTYAI are developing an AI-powered Impact Assessor tool capable of evaluating proposals against pre-loaded standard impacts, controls, and outcomes. It signals a shift from document-centred assessment to intelligence-enabled assessment, where technology automates routine review tasks and enables skilled Assessment Officers to focus on the complex judgements that create public value. Rather than asking how impact assessment can be undertaken faster, this case study explores how it can be undertaken better, creating a more adaptive, transparent, and trusted system that delivers stronger outcomes for communities, industry, and the environment.
Leads the Mining Assessment Team of the South Australian Department for Energy and Mining, chair of the AELERT Regulators Impact Assessment Community of Practice and generalist extraordinaire.