The AI Research Hub connects students and faculty with research tools, practical frameworks, and library guidance for using artificial intelligence responsibly throughout the scholarly research process.
POLK LIBRARY
AI Research Hub
Tools, frameworks, and guidance for AI-integrated scholarship
Polk Library helps students and faculty navigate how artificial intelligence can support research while preserving scholarly judgment, source evaluation, transparency, and responsibility.
Polk Research Intelligence contributes human-reviewed Research Insights from an experimental agentic environmental scan designed specifically to interpret emerging developments through UW Oshkosh and Polk Library's research-support context.
Writing a paper or working on a course research assignment?
For guidance on using AI to develop topics and research questions, find and evaluate sources, and work through papers and course assignments, start with AI for Papers & Research Assignments.
START WITH THE RESEARCH TASK
Research Tools for Scholarly Tasks
AI-enabled and digital research tools can support different parts of scholarly work. Begin with what you are trying to accomplish, then consider which tool fits the task, the information involved, and the expectations governing your work.
Tools may support more than one research task. Inclusion on this page does not indicate institutional approval, licensing, endorsement, or security review.
Research reminder: AI-assisted discovery can surface useful scholarship, but verifying a citation is not the same as evaluating whether the overall search found an adequate evidence set.
Scholarly AI is moving beyond standalone tools. General conversational platforms can increasingly connect with specialized research services, disciplinary evidence sources, and library-supported access.
Connections, features, and access levels change frequently. Verify sources, review original publications, and follow institutional and disciplinary expectations.
CONNECTED RESEARCH EXAMPLE
Consensus in ChatGPT
Consensus can be used directly as an academic search platform or connected within ChatGPT to search scholarly literature while continuing a broader research conversation.
Choose Connect and sign in to your Consensus account.
Enable Consensus in the conversation, then ask ChatGPT to use it.
Interface labels may change as these services develop.
Try three Consensus research workflows
Find literature reviews
Use Consensus to find recent systematic reviews, scoping reviews, and meta-analyses on [topic]. Summarize the major findings, disagreements, limitations, and research gaps. Cite only papers returned by Consensus.
Develop a course or workshop
Use Consensus to develop an evidence-informed reading list for [course or workshop]. Organize the literature around the learning outcomes, prioritize review articles where appropriate, and provide one discussion question for each topic.
Develop a research or grant direction
Use Consensus to examine the literature on [research topic]. Identify significant gaps, promising research questions, possible methods, and evidence that could support the significance of a grant proposal. Distinguish established findings from tentative directions.
CONNECT TO LIBRARY FULL TEXT
Add LibKey Nomad to Your Browser
When supported AI platforms display academic references, LibKey Nomad can identify available articles and connect you with full text provided through UW–Oshkosh Libraries or open-access sources.
Install the browser extension, select University of Wisconsin–Oshkosh as your institution, and continue researching on the web.
Current or announced support relevant to this Hub includes ChatGPT, Claude, Gemini, Microsoft Copilot, Consensus, OpenEvidence, and planned Elicit support. Availability may vary by platform and browser.
Consensus provides structured workflows for literature reviews, curriculum development, and grant research. These templates guide connected AI through planning, searching, and organizing scholarly work.
Tip: These workflows are maintained by Consensus, so the linked page is the best place to find current instructions and workflow templates.
See an example of a structured workflow for launching a literature review, organizing the search process, and developing directions for deeper investigation.
See an example of a structured workflow for investigating the research landscape around a grant idea, identifying relevant evidence and gaps, and developing directions for deeper investigation.
Scholarly Decision Points for AI-Integrated Research
AI can assist research at every stage, but it cannot replace the judgments researchers make. Throughout discovery, verification, and synthesis, scholars decide how questions are framed, evidence is evaluated, and knowledge is constructed.
DISCOVERY
Frame the Inquiry
Decide whether to use AI, define the research problem, and determine which sources and perspectives belong in the inquiry.
Sample question:How is AI shaping my understanding of the topic?
VERIFICATION
Test the Evidence
Evaluate the accuracy, credibility, and provenance of information before incorporating it into scholarly work.
Sample question:Can I locate and verify where this information comes from?
SYNTHESIS
Build the Contribution
Integrate evidence, develop original interpretations, and ensure AI supports rather than replaces scholarly thinking.
Sample question:What is my intellectual contribution?
PRACTICAL FRAMEWORK
Eight Scholarly Decision Points
Drawing on the emerging scholarly literature on AI literacy, information literacy, and AI-integrated research, the full framework synthesizes eight recurring judgments that guide responsible scholarly practice.
New Oxford University Press and Springer Nature guidance highlights how responsibility depends on what AI does and how it influences scholarly judgment.
A useful question across all three: What scholarly decision is AI influencing, and what responsibility remains with the researcher?
POLK LIBRARY SCHOLARSHIP
Research and Writing on AI-Integrated Scholarship
Explore longer-form scholarship produced by Polk Library librarians on emerging questions in AI, information literacy, and higher education.
WHITE PAPER
AI-Assisted Academic Writing as Information Literacy: Writing Performance, Student Agency, and Metacognitive Engagement in Higher Education
A white paper authored by Polk Library librarians examining AI-assisted academic writing through the lens of information literacy, with attention to writing performance, student agency, and metacognitive engagement in higher education.
Polk Research Intelligence is an experimental environmental-scanning workflow focused on AI-assisted scholarly research, information literacy, and research support.
Human review is required. AI can assist with scouting, comparison, and drafting, but a librarian reviews the evidence, interpretation, recommendation, and final communication before an insight is shared.
CHOOSING AI TOOLS WISELY
Different Tools Have Different Purposes and Risk Profiles
AI tools differ in their capabilities, sources, data practices, privacy protections, and institutional support. The right choice depends on both the research task and the type of information you plan to share.
Research Fit
Is the tool designed for the scholarly task you need to complete?
Information Risk
Is the information public, low risk, sensitive, protected, or unpublished?
Institutional Support
Does the university license, manage, or provide guidance for the tool?
Scholarly Expectations
What do instructors, departments, publishers, funders, or research protocols require?
A practical distinction
Public generative AI tools may be appropriate for public or low-risk information when no protected institutional data is shared. Work involving sensitive, restricted, confidential, student, personnel, research, or unpublished institutional information requires greater care and may require an institutionally supported service.
Universities of Wisconsin guidance and UW System data-classification policies should inform tool selection when institutional information is involved.
This Hub introduces representative tools used in scholarly research. Inclusion does not indicate institutional approval, endorsement, licensing, or security review.
Polk Library partners with students and faculty to support AI-integrated scholarship through research consultations, instruction, faculty collaboration, research management, and specialized expertise in AI literacy and learning innovation.
LIBRARY SERVICES
Research Consultations
Literature searching, evidence review, research design, and source evaluation.
Work with Joe Pirillo, Information Literacy & Learning Innovation Librarian, on AI-integrated research, instructional design, faculty partnerships, workshops, disciplinary guidance, and responsible uses of AI in teaching and scholarship.
ADDITIONAL RESEARCH RESOURCES
Explore More Library Support
Research Guides by Discipline
Explore AI-integrated research guidance tailored to disciplinary databases, evidence practices, source types, and assignment expectations.
AI is changing scholarly research, but strong research still depends on informed human judgment. Polk Library partners with students and faculty to help AI strengthen—not replace—critical inquiry, evidence evaluation, and scholarly contribution.
Questions about AI-integrated research, classroom instruction, faculty collaboration, or the Scholarly Decision Points framework?