•    The 75% Accuracy Dilemma: Why maintenance teams won't act on AI predictions without actual failures occurring - exploring the cultural and operational barriers to trusting algorithmic decisions 
•    From "Can We?" to "Should We?": The industry has moved beyond technical capability to fundamental questions of AI trustworthiness - creating frameworks for ethical AI deployment in high-stakes mining operations
•    Pre-trained Models and Black Box Concerns: Addressing transparency requirements when using third-party AI models - balancing competitive advantage with the need for explainable AI 
•    Small Wins Strategy: Building organisational confidence through tangible, quick victories like material delay prediction systems that cold potentially save hours of downtime