Evidence Synthesis Methods Interest Group

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last person joined: 2 days ago 

Charge: To promote and develop competencies around evidence synthesis including systematic reviews, meta-analyses, scoping reviews, and other related methods of research synthesis, through activities such as: Facilitating discussion and peer-support; Creating and managing a resource page; Encouraging programming and publications around systematic reviews through ACRL.
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  • 1.  AI and scoping reviews - copyright question

    Posted Mar 07, 2025 08:13 AM

    Hi everyone,

    I had a faculty member reach out with a question about uploading abstracts to an AI model like ChatGPT to help with screening abstracts for a scoping review. They are looking to use python and a spreadsheet to communicate with the AI model. They tried it with a local model that wasn't connected to the internet. It worked, but they'd like to use a more powerful version to make it quicker and easier.

    They are wondering if it would violate copyright to upload abstracts to a tool like ChatGPT. There are a number of articles out there that discuss using ChatGPT for article screening. So, it looks like others are doing it. Does anyone know if there are copyright issues with this? I need to dig into the research more, but I thought I'd see if anyone has heard this question before.

    Thanks,

    Kathleen



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    Kathleen Flynn
    Biology, Chemistry, Physics, Mathematics & Statistics
    and Atmospheric and Environmental Sciences Librarian
    University at Albany, Science Library
    518-437-3943 | kflynn@albany.edu
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  • 2.  RE: AI and scoping reviews - copyright question

    Posted Mar 07, 2025 08:33 AM

    There is no settled law that I know of, but there is a lawsuit from the New York Times against the ingestion of copyrighted content. 

    As an addendum, I'm not sure why you'd want to use something like ChatGPT for this, rather than one of the systems trained to do this, like Elicit, Scite, or the Scopus AI if you subscribe (or I'm sure there are more.) Those systems are set up to do article screening and have better relationships with the publishers.



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    Rebecca Hedreen
    Head of Research & Instruction, Life Sciences & Distance Learning Librarian
    Buley Lib-Periodicals
    Southern Conn State University
    She/Her/Hers,They/theirs
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  • 3.  RE: AI and scoping reviews - copyright question

    Posted Mar 10, 2025 10:13 AM
    I think one of the challenges with questions like these is helping the faculty member understand that it's not just a question of copyright, but also the legally binding contracts the university signed with the vendor.

    Scott

    Scott Marsalis
    Social Work Librarian &
    Director, Sciences, Agriculture & Engineering
    University of Minnesota Libraries
    My pronouns are he/him
    I acknowledge that the University of Minnesota is located on the traditional, ancestral, and contemporary lands of Indigenous people.
     
     





  • 4.  RE: AI and scoping reviews - copyright question

    Posted Mar 10, 2025 04:20 PM

    Hi Kathleen,

    We are currently doing this in a few of our projects as well. Since the researchers are using GPT via the API, the data they give it will not be used to train their model. Beyond that, whether there are other licensing restrictions that prohibit use of titles/abstracts with large language models (even closed ones), I don't know. However, in my view, this should be an allowable use since it is not being used to develop a commercial product that would compete with the publishers or impact their ability to sell their content. In some ways, I have a hard time seeing how this is much different from any other use of titles/abstracts for research purposes, as long as OpenAI isn't ingesting the data and training their model on it. 

    That's my two cents but then again, I'm certainly no copyright lawyer!  And like you pointed out, many people are doing this now and publishing about it, and I'm not sure the publishers will be able to shut this down at this point. I think the NYT case is a little different since that's about OpenAI using their content to train the model.

    Sarah



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    Sarah Young
    Liaison Librarian
    Carnegie Mellon University
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