Crossing the Epistemic Divide

As generative AI tackles math, science, and code with increasing precision, its next challenge lies in navigating complex, real-world problems where definitive answers don’t exist. This “epistemic divide” separates what AI currently knows from the rich, interdisciplinary human expertise it has yet to master. The Curate methodology offers a path forward—transforming implicit, experience-based knowledge into structured data that AI can learn from. By bridging this gap, AI can better support nuanced decision-making in policy, business, and governance.