Springer Nature Updates AI Editorial Policy, Bans AI-Generated Conclusions and Peer Review Delegation

Springer Nature has updated its artificial intelligence editorial policy, establishing a framework based on the principles of responsibility, transparency and human oversight. The new guidelines aim to support responsible and transparent use of AI in research and publishing.

The updated policy shifts the focus from whether AI is used to how it is used, including potential impacts, risk levels and the degree of human oversight. It distinguishes between low-risk applications such as language polishing and data cleaning, and higher-risk uses that may affect interpretation, evaluation or decision-making, which require more thorough assessment, supervision and transparency.

The policy continues to prohibit AI-generated conclusions and delegating peer review to AI tools, as these practices undermine the integrity of the publishing process and replace responsible human judgment.

Harsh Jegadeesan, Chief Publishing Officer at Springer Nature, said that responsible use of AI can accelerate discovery and improve scholarly communication, while emphasizing that human responsibility remains the cornerstone of research and publishing.