Mapping Exposure: A New Method for Understanding AI‑Driven Systems: Part V
The previous article in this series exposed a structural blind spot that modern institutions can no longer afford to ignore. Part IV demonstrated that oversight mechanisms built for deterministic systems—frameworks anchored in periodic compliance, static documentation, and binary security checklists—are fundamentally blind to the behavioral dynamics of machine learning. They cannot detect how inferential models reorganize workflows, redistribute operational signals, or reshape the environments they are deployed to manage. This diagnostic failure stems from a foundational misconception: institutions remain equipped to evaluate what a system does, but they are entirely unequipped to evaluate what a system changes.
