The Peer-to-Processor Review

STM's Trends 2030 report places AI-driven discovery at the center of scholarly publishing's near-term future.

A predatory journal fabricated papers and listed high-profile researchers — including Eric Topol — as authors without consent.

The BuyTheBy dataset offers the first systematic look at the economics of fake authorship — a shadow market where AI-generated papers increasingly serve as the product being sold.

NISO has released slides from its 2025 Plus Baltimore conference, covering AI in scholarly communications, trust markers for research integrity, and open infrastructure.

Cactus Communications has embedded Imagetwin's AI-powered image integrity detection into its Paperpal Preflight tool, adding automated screening for image manipulation at the pre-submission stage.

A Scholarly Kitchen essay argues that AI is not merely a workflow efficiency tool for academic publishing — it is a structural transformation of how knowledge circulates and how scientific authority is conferred.

Knowledgespeak's editorial board argues that scholarly publishing is undergoing a fundamental monetization split: the traditional model built around validated content is being disrupted as AI shifts where and how value is captured — from content to data, services, and infrastructure.

A commentary in American Ethnologist spotlights growing norms around generative AI disclosure in scholarly authorship.

Peer Review Week 2026's theme — 'Peer Review Capacity: Volume, Speed and Quality' — reflects mounting concern about whether the traditional peer review system can handle the explosion of submissions in the AI era.

Academic publishing built a cathedral. The question nobody wants to answer is how much of the foundation is load-bearing. CAS Newton launched this week — CAS's new agentic

The most telling thing about Frontiers' new AI guidance framework, released this week, is not what it says. It's that they're publishing it in April

Taylor & Francis has renewed its partnership with DataSeer to automate data policy compliance using AI tooling — the latest signal that major publishers are embedding AI into research integrity infrastructure for systematic policy enforcement at submission.