A Computational Theory of Representation Change: Why AI Doesn’t Have “Aha” Moments People often describe an “Aha” moment as something mysterious: you …
The Hardest Problem in AI Artificial intelligence has become remarkably good at prediction. Modern neural networks classify images, flag fraud, recommend actions, …
Counterfactual Causality Inside Neural Networks Neural networks have become extraordinarily good at prediction. Trained on vast amounts of data, they can anticipate …
AI Can Be Right and Still Wrong: Regret, Responsibility, and Moral Residue in Enterprise AI Decision Systems Enterprises are entering a new …
The Missing Neurobiology of Error Artificial intelligence has learned to reason, explain, and justify its answers with remarkable fluency. In many cases, …
Why Intelligence Without Irreversibility Is Not Intelligence A decision is defined by irreversibility: it changes the world in a way that cannot …
