Artificial Intelligence

AI guidance for our communities and partners

AI and publishing is a rapidly evolving area, and we are always open to opportunities that improve the experience of researchers, authors, institutions and the wider research community, in line with our Responsible AI Principles.


As AI becomes more embedded in research and publishing, Springer Nature has an important role to play in supporting the responsible and transparent use of published content. Our focus is on how AI can help researchers discover relevant content more easily, publish their work more efficiently, uphold the integrity of the scholarly record and reduce barriers to knowledge.


When exploring AI use cases, including subscription agreements, we assess every opportunity against our AI principles and our ARC3 framework, which sets out a clear, community-led approach to the responsible use of research content by corporate R&D organisations and other partners. Together these frameworks ensure:

  1. Clear attribution and links back to the original research
  2. Transparency around how research content is used;
  3. Alignment with Springer Nature's Responsible AI Principles


This approach helps researchers benefit from greater visibility and use of their work while maintaining confidence in how their content is accessed and applied. It also supports the responsible use of trusted research in AI-powered environments, helping research reach the people who can use it to advance discovery, inform decision-making and deliver real-world impact.


Our approach is not about AI for its own sake. It is about enabling trusted research to be discovered, understood and applied in ways that benefit the research community and society, while maintaining confidence in the integrity of the scholarly record.


More information on data licensing for research and AI can be found here -  https://www.springernature.com/gp/rd/research-intelligence


The below outlines how content published with Springer Nature can be used in AI applications, including by authors, academic institutions, commercial services, and third parties. 

Artificial Intelligence means any machine-based technology or solution capable of operating with varying degrees of autonomy and adaptiveness (“AI”). The term extends to all current and future developments in AI and related technologies.

How can research published with Springer Nature be used in an AI context?

How is content published by Springer Nature used in an AI context?

Our focus is always on how we can best use AI to help researchers get published faster, find relevant content quickly, ensure the integrity of the academic record, and reduce barriers. We have been using AI for over 10 years already in support of these goals. It remains, though, a fast-moving area and we are always open to things which will improve the experience for our customers and the wider research community. When we do this, we will always apply the same considerations we have to date:

  • Does it benefit our customers and the wider research community? 
  • Is there a ‘human’ in the loop? 
  • Does it meet our AI governance principles of fairness, transparency, accountability, and respect?”

Who owns the copyright for research published with Springer Nature?

Authors retain copyright in their submitted and published work. For subscription articles, Springer Nature is granted by the authors an exclusive License to Publish (LtP) to protect their interests.

Can authors reuse their own work?

Yes. Authors can share and reuse their work freely for research, education, and other non-commercial purposes. Authors should refer to their publishing agreement for specific guidance.

What is ARC3?

ARC3 is Springer Nature’s data licensing solution designed to support research, analytics and AI. Further information can be found here: https://www.springernature.com/gp/rd/research-intelligence

Can academic customers/ institutions use Springer Nature content within an AI context?

AI training and third-party access are not allowed unless explicitly licensed. Academic customers/ institutions may use Springer Nature content for internal AI use, – i.e. use by staff or students at the institution in a teaching context.  Springer Nature also offers customised content services for institutions.

 Can commercial or corporate services use Springer Nature content within an AI context?

Yes, if the use aligns with Springer Nature’s AI guidelines and usage is explicitly agreed. Selected content may be reused and made available to external users, excluding any restricted under historic laws or contracts, but only where that re-use is licenced by Springer Nature.

How can third-parties use Springer Nature content within an AI context?

Third parties may be licensed to use select content for internal AI-powered tools. Measures are put in place, however, to ensure that content is not used beyond the agreed scope.  Attribution must be clearly provided if resulting content is made available externally and it is sufficiently specific, such as article summaries. This would be agreed as part of arranging suitable licences to use Springer Nature content.

What are the licensing terms for third-party use of Springer Nature content?

Use is limited to short summaries with proper attribution. Verbatim distribution is prohibited. Upon termination, all hosting or processing of content must cease.

Does Springer Nature license content for use in LLMs (Large Language Models)?

Only in limited cases. Licensing maybe considered for standalone LLM systems. Currently attribution to all the work (referring to content as outlined at the start of this guidance) that the model has been trained on is not practical. It remains, though, a fast-moving area and we hope solutions will be found for this. We are always open to things that will improve the experience for our authors, customers and the wider research community and we will continue to work with them to improve this.  Additionally, we will always apply the same considerations we have to date:

  • does it benefit our customers and the wider research community?
  • Is there a ‘human in the loop’?
  • Does it meet our AI governance principles of fairness, transparency, accountability, and respect?”
  • Does it meet the conditions of our ARC3 framework?

Does Springer Nature use the content it has published to power/ build its own internal AI tools?

In line with Springer Nature’s AI guidelines, selected content that we have published may be reused to develop Springer Nature tools that enhance publishing services and the research experience. Restricted content and opt-outs are excluded.

 Springer Nature is committed to adopting an ethically focused approach while using, designing, developing, and deploying AI-assisted solutions. We design and use solutions which contain AI or are enabled by AI responsibly, making sure that we consider and mitigate any negative impact, be it societal or environmental.

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