| ## Dataset Summary | |
| This repository contains a set of conceptual and structural documents focused on alignment in AI systems and decision processes. | |
| The materials are intended for: | |
| - researchers exploring evaluation beyond benchmarks | |
| - practitioners working with AI systems in production environments | |
| - anyone dealing with metric-driven or proxy-based systems | |
| ## Intended Use | |
| These documents are not training data or labeled datasets. | |
| They are intended as: | |
| - conceptual references | |
| - evaluation frameworks | |
| - system design heuristics | |
| ## Limitations | |
| These are not empirical studies or benchmark results. | |
| They do not provide quantitative validation, but instead focus on structural patterns and failure modes observed across systems. | |