In this section, the UT Southwestern Health Sciences Library and Digital Learning Center (Library) has summarized the use of Artificial Intelligence (AI) Assisted Technologies by submitted authors from select organizations and journal publishers. The list is not exhaustive.
As the Library cannot confirm the 100% accuracy on the publisher's or individual journal’s position on the use of AI Assisted Technologies, it is recommended that you use the provided information as a starting point of your review of the publisher's and/or journal’s Editorial Policies and Author Guidelines related to AI Assisted Technologies.
The Nature Portfolio is part of Springer Nature and includes all journals with Nature in their name, the Communications journals, the npj series, Scientific Reports, and Scientific Data. To learn more about these journals, see About Nature Portfolio journals | Nature Portfolio.
Springer Nature has updated its Editorial Policies related to Artificial Intelligence.
Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. Use of an LLM should be properly documented in the Methods section (and if a Methods section is not available, in a suitable alternative part) of the manuscript.
The fast moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals are unable to permit its use for publication.
Exceptions are images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner. Other exceptions to this policy include images and video that are directly referenced in a piece that is specifically about AI and will be reviewed on a case-by-case basis.
As we expect things to develop rapidly in this field in the near future, we will review this policy regularly and adapt it if necessary.
Please note: Not all AI tools are generative. The use of non-generative machine learning tools to manipulate, combine or enhance existing images or figures should be disclosed in the relevant caption upon submission to allow a case-by-case review.
The Artificial Intelligence (AI) Guide provides an introduction to this evolving field for faculty, fellows, residents, postdocs, students, and staff. Due to the rapid advancement of this emerging technology, information in the Guide may become outdated at times. This Guide supplements but does not supersede information provided by UT Southwestern or University of Texas policies and guidelines.