The Stanford Agentic Reviewer tool, developed by Andrew Ng’s team, simulates reviewer thinking and provides substantive revision suggestions, generating significant attention in the research community. When the author tried using it, they were concerned about the risk of idea leakage and explored the potential privacy security issues that might arise with the popularization of AI review tools. The article further analyzes that as AI review methods increase, it might evolve from an auxiliary tool to a necessary part of the research process, or even become a mandatory threshold. This phenomenon is similar to “tools dictating processes” seen in other fields. The content offers technical depth and industry insights, focusing on the risks and trends of cutting-edge AI applications, making it worthy of attention from tech readers.
