AI Librarian
In one sentence
An AI Librarian is the campus person, or function, that helps faculty and students treat AI as an information, evidence, citation, privacy, and assessment problem, not merely as a software procurement problem.
The title may not survive
The title has the slightly awkward quality of an institutional role invented while the floor is still moving. That does not make it unserious. Many useful roles begin as ungainly names for work that has become necessary before the organization knows where to put it.
AI has broken several old campus categories at once. A student who asks a model to summarize an article may be doing information work, reading support, or academic evasion, depending on what happens next. A professor who asks students to critique an AI-generated recommendation may be teaching managerial judgment. A student who uses AI to find sources may be learning research practice, or may be importing a hallucinated bibliography with a confident smile.
The old policy language does not hold these distinctions well.
This is why the library metaphor matters. Libraries were never only warehouses for books. At their best, they were evidence institutions: places where students learned how to find, judge, cite, question, and responsibly use information. The university library sat between the student and the world’s claims. It did not merely provide access. It taught discrimination.
AI now needs the same institutional layer.
What central IT cannot do
Central IT can buy the tool. Legal can review the contract. A provost can issue a memo.
None of that tells a faculty member whether a particular assignment still measures learning, whether a source found through AI exists, whether student data is being exposed, whether a citation practice is honest, or whether “AI assistance” has quietly become “AI substitution.”
The AI Librarian names the person who can live in that practical middle.
This role is not primarily the campus AI scold. Nor is it the campus AI evangelist, which may be worse. The AI Librarian should not arrive waving a laminated list of permitted and forbidden tools. The real work is more patient: helping faculty redesign prompts and assignments, helping students understand source quality, explaining when AI output needs verification, tracing the privacy implications of uploading course material, distinguishing brainstorming from authorship, and making the evidence standard explicit.
The important word is librarian, not AI. The job is not to worship the newest model. The job is to protect the university’s relationship to knowledge while the tools for producing plausible text become cheap and abundant.
A real campus example
Rollins College gives the role a concrete shape. Its AI librarian, Terri Gotschall, is brought into AI policy conversations, task forces, and departmental meetings precisely because the title makes the library visible as an AI-policy actor rather than merely a support desk.1
That detail matters. Institutions often route new technology questions through procurement, IT security, academic integrity, or faculty-development committees. All of those have a claim. But if AI is also a source, citation, evidence, research-practice, and information-literacy problem, then the library belongs in the room early, not as an afterthought.
Gotschall’s own prediction is also useful: the specialized title may eventually disappear as AI literacy becomes ordinary library work. That is probably right. But transitional titles have value. They make invisible work visible while the institution is still learning what it has to know.
College of Charleston makes the institutional version explicit in hiring language. Its advertised Artificial Intelligence Librarian role was tied to library instruction, student success, and the College’s Intentional AI Quality Enhancement Plan.2 That is the role moving from improvisation into job architecture.
The hybrid support function
An AI Librarian is a cousin of several older roles: instructional designer, writing-center tutor, academic-integrity officer, privacy reviewer, reference librarian, and assessment consultant. But none of those older roles quite names the new intersection.
AI collapses search, synthesis, drafting, tutoring, simulation, and performance into one interface. The support function therefore has to be hybrid too.
A useful AI Librarian can answer questions like:
- Is this acceptable AI use, or does it replace the task?
- Does this assignment still produce evidence of learning?
- What must the student disclose?
- Can students paste this material into a commercial model?
- What counts as a source when the model gives a summary but not a trail?
- Where should verification happen?
- How do we teach students to use AI without making them intellectually dependent on it?
That last question is the one that matters. The AI Librarian is not there to keep AI out of higher education. That gate has already failed. Nor is the role to make every faculty member enthusiastic. The role is to help the institution preserve the distinction between assistance and understanding.
The two bad defaults
A campus without this function will default to two bad choices.
One group will outsource judgment to vendors and call it innovation. Another will write prohibitions that students and faculty immediately route around. Both are forms of institutional lag. Both avoid the harder task: building a local practice of AI use that is teachable, inspectable, and honest.
The better version is quieter. It looks like faculty workshops where actual assignments are reviewed line by line. It looks like students being taught how to verify citations rather than being told merely not to hallucinate. It looks like privacy guidance that makes sense in ordinary language. It looks like librarians and instructional designers becoming the campus translation layer between fast-moving tools and the slow obligations of education.
The AI Librarian is not a mascot for “AI literacy.” It is an institutional answer to the Verification Gap.
See also
Verification Gap, AI Produced Artifact, Institutional Lag, Implementation Outrun, A Channel of One’s Own, Proof of Learning.
Source
Prof. Langenkamp’s AI in Higher Education — Weekly Brief, Vol. 21, June 20, 2026, especially the discussion of faculty AI support infrastructure; Adrienne Lu, The Chronicle of Higher Education, “Does Your College Need an ‘AI Librarian’?”, June 17, 2026; Rollins College, “Rollins Highlighted in Chronicle of Higher Education Feature on AI Librarians,” June 22, 2026.
-
Rollins College, “Rollins Highlighted in Chronicle of Higher Education Feature on AI Librarians,” June 22, 2026, summarizing the Chronicle’s discussion of Olin Library Dean Derek Malone and AI Librarian Terri Gotschall. https://www.rollins.edu/news/rollins-highlighted-in-chronicle-of-higher-education-feature-on-ai-librarians/ ↩
-
College of Charleston, “Artificial Intelligence Librarian” job posting, posted May 29, 2025. The posting describes the role as supporting library instruction, student success, AI literacy, ethical AI use, and the College’s Intentional AI Quality Enhancement Plan. https://jobs.charlestoncareers.org/companies/college-of-charleston/jobs/51836717-artificial-intelligence-librarian ↩