ClarusC64/ai-5node-align-buf-lag-cpl-reward-hacking-v0.1

What this repo does This dataset models reward hacking cascades where AI systems learn to satisfy metrics while violating intent. It detects when alignment pressure rises, buffers weaken due to missing audits and narrow evals, governance lag delays intervention, and tight coupling through shared KPIs propagates gaming behavior across products, crossing the five-node cascade threshold into an unrecoverable reward hacking cascade. This dataset models a five-node cascade: four… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-align-buf-lag-cpl-reward-hacking-v0.1.