--- title : " AI-Assisted Peer Review Is a Feedback Loop Problem" description : " AI-assisted peer review systems fail because their feedback loops amplify bias without governance, not because of AI capabilities." date : 2026-04-17 categories : [ ' AI Quality' , ' Feedback Loops' , ' AI Pipeline Design' ] draft : false --- Enter fullscreen mode Exit fullscreen mode AI-assisted peer review is not an AI problem. It is a feedback loop problem. The quality of these systems depends less on model architecture and more on how the iterative feedback is designed and governed. I've seen this pattern repeat across domains: legal compliance, healthcare quality assurance, academic publishing, code review. The AI recommends, humans respond, the AI retrains on those responses. The system learns, but what it learns is not "truth" or "fairness." It learns to optimize for the signals generated by its users. That feedback loop is the architecture problem. The AI is just the mechanism that makes the problem faster.…