Frequently Asked Questions


Does the AIS eLibrary support VPN access?

The AIS eLibrary does allow VPN authentication utilizing the IP ranges provided by Institutional Subscribers.

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Why do I have multiple entries for my name in the authors list?

Your name will be listed in multiple author entries if you have published more than one paper and your papers have different affiliations and/or different email address. Articles are grouped under one author listing based on author name, email and affiliation, which are taken directly from the paper you published. We can change the names to be uniform across some papers, but not others.

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I’ve logged into my account, but I cannot see all of the papers I have published

If you are attempting to login to the eLibrary through the Editor Login or My Login pages, your credentials will not work. Those login pages are for content editors of particular journals/proceedings and for those interested in receiving Bealerts.

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What do I do if the author order on my paper/article is incorrect? How can I have the spelling of my name corrected on the author list?
Send an email to with the name of the article, the incorrect author listing, and the correct order of authors or author name spelling. Please be sure to include all information required in an orderly format to ensure that corrections are accurate.

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I am an AIS member, but I cannot download an article/paper
First, please verify your AIS membership is still active. The AIS website and AIS eLibrary website are hosted on different platforms. You will need to create a password on the eLibrary website. When you make the password, you must use the email address associated with your AIS membership account as the username for your eLibrary account. If this does not resolve your issue, send an email to with the name of the needed article/paper and the author name(s) and the AIS staff will forward to you a PDF copy.

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What is the best way to conduct a search of the AIS library content?
You can search the AIS eLibrary using full text, keyword, subject area, first name, last name, institution, date, and title. Simply select the Advance Search option and enter the relevant search criteria. For helpful hints about searching the AIS eLibrary go to the Search Help Page.

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Can I receive automatic alerts regarding new content?
Yes, the AIS eLibrary offers a personalized email notification service called Bealerts. To keep track of newly published content first create a ‘Editor Login’, then visit the Bealerts page and enter the notification criteria (or search criteria), click ‘Save Notification’, and follow the remaining prompts.

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I wish to post my conference proceedings or journals on AIS’ eLibrary. What are my options?

AIS fully supports the utilization of its eLibrary for the purposes of disseminating articles and proceedings regarding information systems. The self-service model is provided to editors of journals and conference proceedings at no fee.

Send a request to contribute to the AIS eLibrary Administrator at with the following information to be considered for inclusion:

  • Organization/Event Name
  • Contact person & their information
  • a brief description of the event
  • number of proceedings/articles

See the AIS eLibrary Submission Guidelines for a more detailed list of the information needed.

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How can non-AIS members download AIS eLibrary Content?
Non-AIS members can gain access to individual articles through the Pay-Per-View option. The cost is $9.95 for most content and the process can be completed easily online. To begin the process please review the Pay-Per-View Instructions for a detailed information. If you need further assistance, send an email to elibrary@aisnet.org with your inquiry.
AIS statement on the use or potential use of articles in the AIS eLibrary in GenAI / LLM models as of May 2025, an Opt-Out approach. DRAFT

The AIS elibrary currently hosts 70,000 scientific peer-reviewed articles and there are 4 million article downloads from the AIS elibrary every year. With the explosive growth in the development and training of Generative AI / LLM models in recent years, it is all but certain that many of these downloaded articles have already been ingested into various types of GenAI models.

Please be aware that most library associations, including the Library Copyright Alliance, the American Library Association, the Association of Research Libraries, and many other library societies, universities, etc. have determined that the use of published copyrighted articles for purposes of training / ingesting in GenAI / LLM models does fall under the "fair use" doctrine. Further, it has been established that notice does not need to be provided to copyright owners of articles, prior to being ingested into a GenAI / LLM model. Some references regarding this topic are listed at the end of this note.

Part of the justification for not requiring notice, is that “technical means” exist that can block access to articles to prevent their download from online sites. Towards this end, AIS has recently established an avenue for authors to utilize that could block access to their article from being ingested into a GenAI / LLM model. If you would like to try to use this avenue, then please do the following;
a) eMail your request to (blockgenai@aisnet.org)
b) Include the URL of the article’s landing page in the AIS eLibrary in the eMail.
c) Option 1: Indicate if you wish the article to be behind the AIS Member ID / PW wall? (This would limit access to the article to AIS Members only.)
d) Option 2: Indicate if you wish the article to be 100% blocked from any downloads? (This would block all access to the article from being downloaded from AIS eLibrary.)

Requests will be processed on a first come, first served basis. We will set the appropriate 'access controls' requested in your note (either Option 1 or Option 2) and add a statement on the article’s landing page that the “Authors of the Article explicitly prohibit the ingestion of the article for Generative AI / LLM model purposes.” Please be aware that the AIS eLibrary admins cannot guarantee the article has not already been (or will be) ingested into an GenAI model. However, by following the steps above, it may increase a copyright holder’s claim that a copyright violation may exists with respect to the use of the article in a GenAI / LLM model.

References...
- https://www.arl.org/blog/training-generative-ai-models-on-copyrighted-works-is-fair-use/#:~:text=Training%20Generative%20AI%20Models%20on,Use%20%2D%20Association%20of%20Research%20Libraries
- https://openai.com/index/openai-and-journalism/
- https://www.regulations.gov/comment/COLC-2023-0006-8854
- https://www.regulations.gov/comment/COLC-2023-0006-8452
- https://www.regulations.gov/comment/COLC-2023-0006-8426
- https://www.regulations.gov/comment/COLC-2023-0006-8554

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