Kent State University

Artificial Intelligence
at Kent State

Kent State staff, faculty and students are already using AI to recover time and do better work. This hub gives you the tools, guidance and community to do it safely.

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AI for your coursework, career, and creativity

AI tools are already part of how many students research, write and problem-solve. Kent State wants you to use them well, understanding what's approved, what's expected of you academically and how to build skills that employers are actively looking for.

Approved tools for students

Microsoft Copilot and Google Gemini are available to all Kent State students at no cost. Use them for research synthesis, writing drafts, brainstorming, and summarizing readings. NotebookLM is especially useful, upload your notes and course materials, then ask it questions directly.

Academic integrity and AI

Whether AI is permitted in a course and how is determined by your instructor. Look for AI use guidance in your syllabus. When you use AI in your work, attribute it: Kent State follows emerging academic citation standards for AI-generated content.

Build skills employers want

AI fluency is increasingly listed in job postings across every sector. Kent State offers self-paced modules and workshops to help you develop practical, demonstrable skills, not just familiarity. The Career Exploratory Center also has guidance on using AI responsibly in applications and interviews.

A simple rule on data

Do not input other students’ work, personal records, or university-restricted information into any AI tool. If you would not post it publicly, treat it as protected. When in doubt, ask your instructor or IT.

Guidance, Tools and Real Examples for Teaching with AI

AI is changing what students arrive knowing, what they expect from coursework, and what skills they'll need after graduation. Kent State supports faculty in navigating this thoughtfully, with practical tools, syllabus resources and a community of colleagues working through the same questions.

Syllabus guidance and course policy

The Center for Teaching and Learning has developed model syllabus language for three approaches: AI prohibited, AI permitted with disclosure, and AI integrated as a course tool. These are starting points, course-level policy is your call.

AI in the classroom, real examples

Kent State faculty across colleges are using AI for case study generation, rubric drafting, feedback acceleration, and structured student reflection on AI outputs. CTL maintains a growing library of real examples, contributed with faculty permission.

Approved tools for teaching

Microsoft Copilot, Google Gemini/NotebookLM, and Adobe Firefly are sanctioned for university use. NotebookLM is particularly strong for teaching, create a shared notebook from course readings for students to interact with. Do not process FERPA-protected student data through any AI tool without IT guidance.

Using AI in research

AI use in research contexts, for data analysis, literature review, or grant writing, carries additional considerations around attribution, reproducibility, and publisher and funder policy. Kent State Libraries and the Office of Research can help you navigate these.

Put the AI Playbook to work in your unit

Kent State staff are already recovering meaningful time through AI, the UCM pilot showed 2.25–3.75 FTE of recovered capacity across one division. The AI Playbook gives every unit a practical framework for finding the right tasks, using safe tools and building processes that outlast the person who set them up.

86% of UCM staff use AI weekly or more
~3 FTE of recovered capacity in one division
87% see AI as opportunity, not threat
46% doing more strategic work, less execution

Start with the AI Playbook

The AI Playbook (maintained by the Division of IT) walks unit leaders through a step-by-step process: inventory your team's recurring tasks, screen for data risk, identify your best candidate using the 2×2 task matrix, and run a structured pilot. It assumes you are not a technologist.

Find the right tasks: the 2×2 matrix

Not every task is a good AI candidate. The matrix separates tasks that are tedious for people and fast for machines, your best starting points, from tasks where AI adds overhead without saving time. Run this with your team before committing to anything.

Do I need IT involved?

Many AI uses are self-service, your department decides and owns them. Others benefit from IT guidance, and some (anything involving FERPA, HIPAA, or mission-critical decisions) require IT as a co-owner. When in doubt, contact IT first. It is easier to start right than fix it later.

Document what you build

The most common failure mode is an AI workflow tied to one person's account that breaks silently when they leave. Every AI-enabled process needs a process map, a system message on file, and at least two people who can maintain it.

Your first 90 days

From "I've read this" to "we have one AI-enabled process running, measured and documented" in roughly one quarter.

  1. Weeks 1–2 — Inventory & orientShare the Playbook with your team. Ask each person to list their recurring weekly tasks. Identify a 2–4 person working group and attend one session at training.kent.edu.
  2. Weeks 3–6 — Select & pilotRun the 2×2 matrix. Pick one Quadrant 1 candidate. Screen for data risk; engage the LEAN Office if the process needs cleanup first. Capture your baseline: time, accuracy, volume.
  3. Weeks 7–12 — Measure & documentRun the AI-assisted version alongside your current process for 2–3 weeks. Track time saved, accuracy, and intervention rate. Produce the documentation bundle. Share results with your AVP and IT.

AI Tools, Guidance and Responsible Practice for Research

AI is accelerating research across every discipline, from literature synthesis and data pattern recognition to grant writing and lab automation. Kent State supports researchers in using these capabilities effectively while navigating the real considerations around attribution, data governance, reproducibility, and funder policy.

Approved tools for research

Microsoft Copilot, Google Gemini, and NotebookLM are sanctioned for university data. NotebookLM is especially useful for synthesizing large document sets, upload papers, reports or transcripts and interrogate them directly. Do not input HIPAA-protected, IRB-restricted or unpublished proprietary data without first consulting IT and your IRB coordinator.

Attribution and reproducibility

Major journals, funding agencies, and professional associations are actively updating their AI use policies, and they vary considerably. As a rule: disclose AI use in your methods or acknowledgments, do not list AI as a co-author, and retain documentation of AI-assisted steps for reproducibility. Kent State libraries can help you navigate specific publisher requirements.

Grant writing

AI tools can accelerate literature review synthesis, help structure specific aims, and improve clarity in lay summaries. NIH, NSF, and other major funders have issued guidance on AI use in applications, review these before submitting. Kent State's Office of Research has template language for common disclosure scenarios.

IRB and human subjects

Using AI to analyze data involving human subjects, including interview transcripts, survey responses, or behavioral data, may have IRB implications depending on how and where the data is processed. Consult your IRB coordinator before routing sensitive research data through any AI platform.

High-performance computing and advanced AI

Research involving large datasets, model training, or computation-intensive AI applications may be eligible for HPC resources through Kent State's research computing infrastructure. Contact the Division of IT's research computing team for a consultation about what's available and how to get access.

AI & accessibility at KSU

Guidance on using AI to create accessible content, evaluate tools for WCAG compliance, and meet Kent State’s accessibility commitments, for everyone who makes, builds or buys.

AI Courses at Kent State

Approved AI Tools

Tools outside this list (Claude, ChatGPT, etc.) may be used for personal/non-sensitive work only, do not input university data. When in doubt, ask IT.

AI in the News

 

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