Applied AI Epistemics is an emerging research field dedicated to understanding and redesigning how human cognition evolves alongside artificial intelligence. Rooted in systems thinking, it investigates the epistemic consequences of generative technologies on learning, reasoning, and institutional decision-making. We are not here to train AI. We are here to retrain the structures through which we think, teach, and lead.

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Founded by Prof. Prince Sarpong, Applied AI Epistemics seeks to reclaim the intellectual infrastructure of knowledge itself, before AI systems calcify our cognitive biases into global defaults. This is a research movement that seeks to develop frameworks, models, and diagnostics to shape how thought is structured in the age of intelligent systems.