---
title: "AI in peer review: relief that requires oversight"
author: Martin Ebner
date: 2026-10-28
url: https://postgenerative.at/indications/2026-10-28/ai-in-peer-review-relief-that-requires-oversight
lang: en
type: Indication
summary: AI promises faster routine checks, additional error detection and constructive peer-review feedback. These benefits face inaccurate judgments, bias, manipulation and verification costs – time savings are not guaranteed.
tags:
  - Science
  - Research
  - Higher education
sources:
  - title: "Jeffrey Brainard (03.09.2026): Can AI help solve the peer-review crisis? Here are its promises and pitfalls / Ready for the robot reviewers? Science."
    url: https://www.science.org/content/article/can-ai-help-solve-peer-review-crisis-here-are-its-promises-and-pitfalls
license: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
alternate:
  de: https://postgenerativ.at/indizien/2026-10-28/ki-im-peer-review-entlastung-mit-kontrollbedarf
---

# AI in peer review: relief that requires oversight

Writing in *Science*, Jeffrey Brainard compares AI-assisted review’s opportunities and limits. Several interviewees regard wider future use as realistic: Arjun Manrai expects a growing role at *NEJM AI*; AAAI plans further trials. Processes combining AI and human assessment are already operating. [1]

**Benefits:** AI can check calculations and numerical consistency, execute code and uncover overlooked problems.

**Drawbacks:** Mistaken criticism, misunderstood disciplinary knowledge, unnecessary demands, prestige bias and manipulation remain risks. Novelty and significance are difficult to assess; verification can erase time savings. [1]

Our interpretation: the key questions are which task an AI reliably performs and how responsibility is organised.

[Read the Science article](https://www.science.org/content/article/can-ai-help-solve-peer-review-crisis-here-are-its-promises-and-pitfalls)