When Correlation Stumbled

Why does artificial intelligence excel at pattern recognition yet fail at genuine understanding? Why can systems that master games and generate fluent text still stumble on questions a child could answer?

In this sweeping intellectual history, Edzai C. Zvobwo traces how the field of AI made a fateful choice-to pursue correlation over causation, prediction over understanding, behavior over meaning. This choice was not inevitable. It was shaped by Cold War funding priorities, commercial pressures, and academic incentives that valued what could be measured over what mattered.

Drawing on philosophy of science, cognitive psychology, and political economy, Zvobwo reveals how AI's dominant paradigm has produced remarkable achievements alongside characteristic failures. From the banishment of causality to the revival of behaviorism in silicon, from data colonialism to the benchmark industrial complex, this book exposes the hidden assumptions that constrain what AI can become.

The correlational paradigm that has dominated for decades is now reaching its limits. Scaling produces diminishing returns. Systems hallucinate with confidence. Failures under intervention accumulate. The absence of genuine understanding becomes impossible to ignore.

This book maps the paths not taken and argues for a fundamental reorientation-from prediction to decision, from correlation to causation, from behavior to genuine understanding. The paradigm shift will not happen automatically. It requires new choices by researchers, funders, and society. It requires a vision of what AI could be that differs from what AI is.

Essential reading for anyone seeking to understand AI's past, present limitations, and future possibilities.