AI & Trusted Research 

How AI shapes — and is shaped by — the academic record

As AI becomes more embedded in research and publishing, ensuring the integrity of the academic record is essential — not just to protect scholarly trust, but to help build responsible, trustworthy AI.

Understanding AI’s impact on science and the academic record — the bedrock of progress and innovation.

From drug development to green technologies, scientific progress relies on a trustworthy academic record.

Today, that record faces new and fast-moving challenges — from AI-generated misinformation to large-scale manipulation. At the same time, AI offers powerful tools to enhance discovery, streamline publishing workflows, and accelerate innovation.

This moment demands thoughtful collaboration across sectors to harness AI’s benefits while advancing trusted research. 

AI and trusted research: tools, insights, and guidance

Scholarly publishers and partners are already taking action—developing safeguards, exploring frameworks, and sharing best practices.

This portal offers curated briefings, expert commentary, researcher perspectives, and policy resources to help you navigate the evolving intersection of AI and academic publishing.

Check back often—this dynamic resource is regularly updated to help us advance trusted research, together.

Resources and Statements

A living library of global guidance, statements, and tools to help shape ethical, human-centric AI in research publishing.

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Rights Reservation

Recommendations on current mechanisms to reserve rights: Robots.txt, TDMRep, ISCC — and resources to help get you moving.

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Copyright & Licensing

Protecting publisher rights in the AI era: STM’s position on copyright, licensing, and responsible content use.

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Researcher Perspectives

What researchers think about the use of AI in research: an ongoing curation of articles that capture researchers’ views on AI’s role in the research process.

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AI in Science

How AI strengthens discovery, supports researchers, and reinforces the integrity of the scholarly record.

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Where Are We Headed?

AI presents opportunities, threats and no shortage of questions. Explore STM Trends — our annual futurecast — and share any questions you may have with us.

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FEATURE

Recommendations for a Classification of AI Use in Academic Manuscript Preparation

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Helpful follows & newsletters

Pascal’s Substack | Pascal Hetzscholdt | Substack

Content Licensing Brief (Creative Licensing International)

Rights Tech Extra (Paul Sweeting)

Outside Context (George Walkley)

Charting AI (Graham Lovelace)

Explore our Resources & Statements

A curated, living library of

  • global guidance
  • statements
  • tools

— to help shape ethical, human-centric AI in research publishing —organised by country and region.

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The Latest from STM

STM supports transparency in AI training

STM has expressed support for Congressional efforts to legislate on AI transparency, with several bills proposed to require AI developers to disclose the use of copyrighted material. The TRAIN Act grants rightsholders the ability to petition courts to subpoena developers to release generative AI training data. The CLEAR Act would require generative AI developers to disclose, available via a…

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EU Commission releases report on ERA Act consultation

Following the call for evidence on the ERA Act open between 6 August and 10 September 2025, the EU Commission released a summary of stakeholders’ responses. A fragmented copyright landscape, the lack of standardised metadata and interoperable data infrastructures, inequities arising from APCs, dominance of English in scientific publishing, reliance on commercial publishers and restrictive contractual practices…

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STM submitted comments on copyright and AI in India

On 6 February, STM finalised its submission to the Department for Promotion of Industry and Internal Trade (DPIIT) in response to the Working Paper on Generative Artificial Intelligence and Copyright, which proposed introducing a statutory licensing scheme for AI. Other global and local publishing organisations, as well as additional rightsholders, also made submissions. STM will…

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NSF implements immediate public access requirements

On January 22, NSF announced an immediate update to its public access policies in its Proposal and Award Policies and Procedures Guide (PAPPG). Effective immediately for new “financial assistance awards,” NSF grant recipients are required to deposit an accepted manuscript to the NSF Public Access Repository (PAR) immediately “at or before the time of publication.” On…

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