The Peer-to-Processor Review

STM's industry-wide consultation on responsible AI use of research content is a significant policy moment — it invites input from all major stakeholders (publishers, researchers, GenAI developers, funders) and could produce the closest thing to a sector-wide framework for AI training data governa...

Dense roundup hitting multiple critical AI-in-publishing threads simultaneously: paper mills exploiting IEEE proceedings at scale (1,700 offers), AI disclosure policies not working across 5 million papers, a South Africa AI policy withdrawn due to AI-generated fake sources, and a Harvard physicis...

ALA formalizing AI guidance for libraries is a significant policy marker.

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

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.

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

Highly relevant and timely.

The UK Government has reversed its earlier proposal to allow AI companies

STM's 'Toward Responsible Use of Research Content in Generative AI'

A long-awaited UK government report on AI and copyright policy was

A formal warning was issued to the lead researcher behind a controversial

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.