AI RESEARCH
AI Alignment via Incentives and Correction
arXiv CS.LG
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ArXi:2605.01643v1 Announce Type: new We study AI alignment through the lens of law-and-economics models of deterrence and enforcement. In these models, misconduct is not treated as an external failure, but as a strategic response to incentives: an actor weighs the gain from violation against the probability of detection and the severity of punishment. We argue that the same logic arises naturally in agentic AI pipelines.