The Peer-to-Processor Review

The headline 'LLMs are not the problem' represents a notable shift in discourse — a reframing of research integrity concerns away from LLMs as sole culprit.

AAAS — publisher of the flagship Science journals — expanding AI-powered research reporting automation via DataSeer is a strong signal of mainstream adoption.

CAS launching an agentic AI system is significant on multiple fronts: CAS is one of the most authoritative chemistry/science literature databases in existence, and their move into agentic AI signals that the major scholarly infrastructure players are now building tools that autonomously reason ac...

Toler and Cochran's framing — that AI strategy failure in scholarly publishing is a people problem, not a technology problem — is a maturing and important narrative.

Aries Systems (makers of Editorial Manager, widely used by major publishers) embedding AI integrity checks in collaboration with Integra represents AI moving from bolt-on to built-in at the submission-system level.

PLOS CEO Alison Mudditt makes a compelling strategic argument: the AI era doesn't just use open access content — it depends on the trustworthiness signals that good OA practice produces (open data, rich metadata, transparent retraction workflows).

KW Global's framing of "AI-native discovery" as a new paradigm is editorially useful even if the immediate hook is a vendor partnership announcement.

This piece sits at the intersection of research integrity and AI risk: if journalists don't correct coverage of retracted papers, AI systems trained on or summarizing that coverage will propagate false findings even further.

Clarivate — whose Web of Science and citation analytics sit at the heart of scholarly publishing infrastructure — publishing an AI invention rankings report is notable on two levels: it demonstrates their expanding role as an AI intelligence provider, and the underlying data (patent + citation an...

ARL and CNI — two of the most influential library consortia in North America — have jointly released a strategic scenario planning report on AI's future impact on research libraries.

McGraw Hill announces participation in the ASU+GSV Summit (April 12–15, San Diego) with a focus on AI-enabled educational tools and academic integrity.

Major policy development: the UK Government has walked back its proposed text and data mining (TDM) exception that would have let AI developers train on copyrighted content without a license.