How AI is Changing Peer Review

Peer review is the immune system of science. It attacks bad ideas. It protects good ones.

But the immune system is failing. Reviewers are overwhelmed. Papers take months to publish. Errors slip through.

Artificial Intelligence (AI) is the upgrade. It is not a replacement for human judgment. It is a tool for structural rigor.

The Good: Speed and Standardization

Humans are inconsistent. We get tired. We have biases.

AI does not get tired. It applies the same standard to every paper.

Instant Audit: A human takes hours. AI takes seconds.
Objective Criteria: AI does not care who the author is. It only cares about the data.
Boring Checks: AI is excellent at the tedious work. Did they report the p-value? Is the sample size calculation there?

AI is not perfect. It is a very fast, very well-read intern. It makes mistakes.

Hallucinations: LLMs can invent facts. This is why PaperScores uses extraction, not generation. We verify every claim against the text.
Bias: AI learns from old papers. If old papers are biased, the AI is biased. We must guard against this.
The Rubber Stamp: The biggest risk is human laziness. If the AI says "Good," the editor might stop reading. This is dangerous.

The future is not AI or Human. It is AI and Human.

Imagine a pilot. The autopilot handles the routine flight. The pilot handles the landing.

AI Role: Structural Review. (Is the math right? Is the method sound?)
Human Role: Scientific Review. (Is the question important? Do the results matter?)

We are building this future. We provide the structural review instantly.

We answer the technical questions:

This clears the noise. It lets the human scientist focus on the signal.