Explainable AI (xAI): A Way to Improve AI Adoption in Mining

Digital transformation and the adoption of artificial intelligence are already part of the strategic agenda for Chilean mining. However, despite the clear consensus on its necessity, the industry remains largely stuck in the “development” stage.

This week, Deloitte and CESCO presented the “Digital Ecosystem in Mining” study, which provides an inside look at this phenomenon: almost half of the surveyed organizations declare being “in development” regarding their digital transformation maturity level.

Analyzing the hard data, two figures emerge that we at Mineral Forecast know very well:

Only 48% of surveyed mining companies report having adopted Artificial Intelligence (AI) or Machine Learning (ML) technologies.
While 75% of academia perceives a high or transformational impact of AI in the exploration stage, only 22% of mining companies think the same.

Why does this massive disconnect exist? Why is the most critical stage of mining—where the future of resources is discovered—the one that doubts technology the most?

The Challenge is not Technological, it’s Cultural and Strategic

The report is emphatic in identifying the real bottleneck: cultural resistance to change is the main barrier to digital transformation, mentioned by 74% of mining companies. Added to this is a glaring “business-technology gap” (61%).

At Mineral Forecast, we understand very well where this caution comes from. Mining is, fundamentally, a constant exercise in uncertainty reduction. We know that exploration teams and managers hesitate, rightfully so, to commit multimillion-dollar drilling budgets based on “black box” systems they cannot fully comprehend.

As the study’s conclusions rightly point out, the great challenge for the industry today is to “scale: move from pilots to collaborative models and capabilities that allow capturing value across the entire chain.” But, if a mathematical model tells you where to drill and doesn’t explain why, it won’t scale. It will remain a mere anecdote because nobody wants to gamble blindly.

Our Solution: Explainable AI (xAI) and Geological Defense

To bridge the gap between business and technology, Artificial Intelligence must speak the language of geological causality. That is why our Geo AI Advisor platform, or GAIA, is built on the principles of Explainability Analytics (xAI).

This is how we get mining to move from skepticism to adoption at scale:

Non-negotiable Geological Defense: We prioritize explainability and auditability. We provide tools so teams can defend their investment decisions with empirical data and clear geological reasoning.
Visibility of the “Why”: GAIA doesn’t just deliver prospectivity maps and drilling targets; it visualizes the reasons behind every insight. By seeing exactly which variables are influencing a model, teams validate recommendations and build real trust in the system.
Augmented Intelligence: We do not seek to replace the geoscientific expert. We designed a framework where human experience remains the primary factor in decision-making, now empowered by the ability to process thousands of correlated variables in minutes.

From Data to Traceable Certainty

High-impact discoveries require bold but deeply informed decisions. AI solutions have already proven they can multiply drilling success rates and optimize productivity, a benefit that 60% of respondents already acknowledge having achieved. These figures align with what our clients have experienced: 4 times more effective drilling, 25% faster discoveries, and a 30% reduction in drilling campaign costs.

However, for cost reduction and data-driven decision-making to stop being a simple future promise and become the standard in mineral exploration, technology must be transparent. By integrating Explainable AI, we ensure geologists stop seeing innovation as a leap of faith, transforming it into the ultimate tool for traceable certainty.

Download Deloitte and CESCO study here (spanish only).