Course Information
| Session |
|---|
| Credits | 1.5 CEUs or 15 PDHs |
|---|---|
| Registration dates | We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment. |
AI Issues in Scholarly Communication
$250.00
Dates: June 7 - July 4Credits: 1.5 CEUs or 15 PDHs
Artificial intelligence has moved into every stage of the scholarly ommunication cycle — from how researchers discover literature, to how manuscripts are written, reviewed, and published, to how the resulting record is indexed, surfaced, and reused. Academic librarians and information professionals are now fielding questions they were never trained to answer: whether a citation a chatbot produced actually exists, what a publisher's AI disclosure policy
requires, whether a manuscript under peer review can be uploaded to an AI tool, and what it means that publishers are licensing author content to AI developers.
This four-week course gives librarians a working map of those issues.
Participants examine the AI research tools their patrons are already using and a framework for evaluating them; the integrity problems reshaping the scholarly record, including fabricated citations, paper mills, and AI-generated peer review; the emerging policy landscape from COPE, ICMJE, and major publishers, and what meaningful disclosure looks like in practice; and the effects of AI on the infrastructure of scholarship itself, from crawler traffic on institutional repositories to AI-mediated discovery and the equity gaps opened by subscription-priced research tools. The course assumes no prior technical knowledge of AI and no background in scholarly publishing. Each week pairs a short reading set with a practical exercise drawn from real library work, so
participants finish with material they can use at their own institutions.
Learning Outcomes
By the end of this course, participants will be able to:
1. Evaluate AI-assisted research and discovery tools against a consistent framework covering sourcing, transparency, cost, and appropriate use.
2. Identify markers of AI-generated and fraudulent scholarship — fabricated citations, tortured phrases, paper mill indicators, and citation manipulation — and verify claims against authoritative databases.
3. Explain current authorship, disclosure, and peer review expectations from COPE, ICMJE, and major scholarly publishers, and locate a given journal's AI policy.
4. Describe how AI is affecting the infrastructure of scholarly communication, including repository crawler traffic, AI-mediated discovery, and publisher licensing of scholarly content to AI developers.
5. Advise librarians and information professionals on responsible AI use in research and publication, including when and how to disclose.
6. Draft AI guidance or instructional material appropriate to their own institutional context.
Course Description
Artificial intelligence has moved into every stage of the scholarly ommunication cycle — from how researchers discover literature, to how manuscripts are written, reviewed, and published, to how the resulting record is indexed, surfaced, and reused. Academic librarians and information professionals are now fielding questions they were never trained to answer: whether a citation a chatbot produced actually exists, what a publisher's AI disclosure policy
requires, whether a manuscript under peer review can be uploaded to an AI tool, and what it means that publishers are licensing author content to AI developers.
This four-week course gives librarians a working map of those issues.
Participants examine the AI research tools their patrons are already using and a framework for evaluating them; the integrity problems reshaping the scholarly record, including fabricated citations, paper mills, and AI-generated peer review; the emerging policy landscape from COPE, ICMJE, and major publishers, and what meaningful disclosure looks like in practice; and the effects of AI on the infrastructure of scholarship itself, from crawler traffic on institutional repositories to AI-mediated discovery and the equity gaps opened by subscription-priced research tools. The course assumes no prior technical knowledge of AI and no background in scholarly publishing. Each week pairs a short reading set with a practical exercise drawn from real library work, so
participants finish with material they can use at their own institutions.
Learning Outcomes
By the end of this course, participants will be able to:
1. Evaluate AI-assisted research and discovery tools against a consistent framework covering sourcing, transparency, cost, and appropriate use.
2. Identify markers of AI-generated and fraudulent scholarship — fabricated citations, tortured phrases, paper mill indicators, and citation manipulation — and verify claims against authoritative databases.
3. Explain current authorship, disclosure, and peer review expectations from COPE, ICMJE, and major scholarly publishers, and locate a given journal's AI policy.
4. Describe how AI is affecting the infrastructure of scholarly communication, including repository crawler traffic, AI-mediated discovery, and publisher licensing of scholarly content to AI developers.
5. Advise librarians and information professionals on responsible AI use in research and publication, including when and how to disclose.
6. Draft AI guidance or instructional material appropriate to their own institutional context.
Amy Jansen
Amy Jansen serves as a Business Librarian and liaison to a business school at a public university in New England and has worked extensively with Business students and faculty members, as well as information professionals doing business research of all sorts. Amy started out her career in LIS as a library software trainer and has worked for small liberal arts colleges as well as large research universities. She truly enjoys business research and its complexities and is especially intrigued by real world applications of business information, including competitive intelligence and intellectual property issues. She has an MA in Women’s & Gender Studies from the University of Cincinnati and an MS in Library & Information Science from the University of Illinois, Urbana-Champaign.
How to Register
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