Unrepresentability in AI: The Hidden Failure Mode No Accuracy Metric Can Detect The most expensive AI failures don’t start with a bad …
Homeostatic Meta-Reasoning for Invalid Abstraction Detection AI systems fail most dangerously not when they reason incorrectly—but when they reason correctly inside the …
Why “Aboutness” Is the Hardest Governance Problem in Enterprise AI Most Enterprise AI failures don’t begin with incorrect predictions—they begin with misaligned …
Concept Formation & Representation Birth Artificial intelligence systems today can learn faster, generalize better, and optimize more efficiently than ever before—yet still …
Self-Limiting Meta-Reasoning Under Internal Instability As artificial intelligence systems become capable of extended reasoning—planning, reflecting, calling tools, and revising their own conclusions—a …
Formal Theory of Delegated Authority in Enterprise AI As enterprises deploy AI systems that can recommend, decide, and increasingly act in the …
