Your Campus Already Uses ChatGPT, Claude, and Copilot. Here’s How to Make Them Research-Ready.

Sponsored by Scite by Research Solutions
Recorded on 05/28/2026

Posted in Library Technology and IT

A practical guide for academic librarians on adding a trusted, verified research layer to the AI tools your institution already has.

Summary:

Your researchers are already using AI. The question is whether your library has a seat at the table. 

ChatGPT, Claude, and Copilot are embedded in how research gets done now. Literature reviews, citation generation, synthesis tasks — it’s all happening, with or without library guidance. The problem is that AI-generated citations fail between 3% and 27% of the time, and the subtle failures (real papers, wrong findings) are the ones that slip through. 

Libraries are uniquely positioned to fix this. Trusted and connected across every department on campus, the library is the institution’s natural home for responsible AI adoption. This session is about making that case, then giving you the tools to act on it, including the AI-powered research platform Scite. 

Based on daily conversations and collaboration with university librarians who are implementing AI, we’ll cover the technical basics (what LLMs actually are, why hallucination happens, what MCP means) alongside the strategic and operational questions librarians are wrestling with: how to build a budget case, how to evaluate tools, how to partner with faculty, and how to use AI adoption data to demonstrate collection value. 

What we’ll cover: 

Understanding the technology: 

  • What Large Language Models (LLMs) are and why they generate false citations
  • The citation fabrication problem: Significant error rates across leading AI tools, and why the researcher trust gap makes this urgent 
  • What Model Context Protocol (MCP) is and how it differs from a standard API
  • Scite’s three access paths (Platform, MCP, and API) and which fits which use case 

Positioning the library to lead: 

  • Why libraries are the right institution to lead campus AI adoption 
  • The five challenges AI creates for libraries and a strategic response to each 
  • A four-pillar implementation framework: training, tool evaluation, policy, and rollout 
  • Faculty partnership strategies: moving from detection to verification in assignment design 

Practical tools and tactics: 

  • How to think about the budget case for AI-integrated research tools
  • MCP Admin Analytics as a library intelligence tool
  • LibGuide examples from peer institutions already integrating AI literacy into their research support offerings 

This session is for: 

  • Academic and research services librarians navigating AI adoption on campus 
  • Library directors looking to lead institutional AI policy conversations, not just respond to them 

No technical background required.  

Speakers:

  • Image of Prof. Sean Rife, PhD

    Prof. Sean Rife, PhD

    Head of Academic Relations at Scite and Associate Professor of PsychologyMurray State University
  • Image of Drew Barontini

    Drew Barontini

    VP of ProductScite

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This webinar will be recorded. All registrants should receive a follow-up email with a link to the recording. Webinar recordings are also available on Choice’s YouTube channel.

This webinar is a paid sponsorship opportunity. The products, services and opinions presented herein do not constitute a CHOICE, ACRL, or ALA endorsement of any kind.

Unauthorized recording of any part of this event is strictly prohibited without prior written permission. This includes video or audio recording, chat or AI-generated transcriptions, and screenshots.

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