Peer review remains the academic gold standard for truth—a rigorous quality-control system where independent experts, not just algorithms, scrutinize research for logic and feasibility. This intentional, often “blind” process can take months or years to filter out bias and ensure high-level accuracy.
In an era where AI can churn out professional-looking white papers in seconds, it is easy to mistake a polished layout for proven fact. While AI is exceptional at synthesizing information, it lacks the critical eye required to stress-test theories or identify subtle flaws in research design. AI can draft content, but it cannot survive the “revision crucible” of peer review, where every claim must be justified against the collective wisdom and scrutiny of the field.