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

EU Commission seeks views on protocols for TDM rights reservation expression

The Code of Practice for General-Purpose AI models adopted this summer includes Measure 1.3 “Identify and comply with rights reservations when crawling the World Wide Web”. The EU Commission has now started a consultation (deadline 9 January 2026) on protocols that exist for expressing right reservations, which STM will respond to. The questionnaire includes several questions on the TDMRep…

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Survey on Secondary Publication Right and research exception

As previously reported, the EU Commission is seeking the stakeholders’ views on potential changes at EU level on Secondary Publication Right and research exception from copyright. Because of the disappointing survey design, STM is drafting a critique letter, co-signed by other publishing organisations in Europe and globally, in addition to its survey responses. Thank you to all members…

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NIH posts comments on APC caps

NIH has released nearly 1,400 pages of comments received from more than 900 commenters on the policy proposal on “Maximizing Research Funds by Limiting Allowable Publishing Costs.” STM’s was among the approximately 10% of submissions that were very extensive, along with several other publishers/publishing organisations and some large institutions and funders. Other than Gates, many of the longest responses raised…

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DOE asks for input on AI model development

Although not explicitly connected to the Genesis Mission, the Department of Energy has issued a request for information (RFI) on Partnerships for Transformational Artificial Intelligence Models. DOE plans (again, separate from the Genesis Mission) “to establish a public-private consortium to curate DOE scientific data across the National Laboratory complex for use in artificial intelligence (AI) models…

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