Policy presence
The Ohio State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Columbus, United States
The Ohio State University
The Ohio State University is listed as QS 2026 rank 190. The Ohio State University has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
The Ohio State University is listed as QS 2026 rank 190. The Ohio State University has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists The Ohio State University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/ohio-state-university.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Microsoft Copilot, Gemini.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
The Ohio State University has 4 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
The Ohio State University has 4 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
The Ohio State University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
The Ohio State University has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
The Ohio State University has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
The Ohio State University has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
The Ohio State University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
The Ohio State University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
7 reviewed evidence-backed public claim
Ai Tool Treatment
Ohio State responsible-use guidance says students should use GenAI tools for coursework only with the explicit permission of each instructor, and only in the ways allowed by that instructor.
Review: Agent reviewed
Normalized value: student_genai_coursework_requires_instructor_permission
Original evidence
Evidence 1Students should use GenAI tools for coursework only with the explicit permission of each instructor, in the ways allowed by that instructor.
Academic Integrity
Ohio State Arts and Sciences guidance quotes the OSU Committee on Academic Misconduct policy that generative AI tools should not be used to complete course assignments unless the course instructor specifically authorizes their use.
Review: Agent reviewed
Normalized value: genai_assignment_use_requires_specific_instructor_authorization
Original evidence
Evidence 1To maintain a culture of integrity and respect, these generative AI tools should not be used in the completion of course assignments unless an instructor for a given course specifically authorizes their use. Some instructors may approve of using generative AI tools in the academic setting for specific goals. However, these tools should be used only with the explicit and clear permission of each individual instructor, and then only in the ways allowed by the instructor.
Privacy
Ohio State teaching guidance says data entered in AI applications using a personal account will not be protected, and users must log in to an approved AI tool with Ohio State credentials before entering institutional data above S1.
Review: Agent reviewed
Normalized value: personal_ai_accounts_not_for_institutional_data_above_s1
Original evidence
Evidence 1Keep in mind that data you enter in AI applications using a personal account will not be protected; you must log in to an approved AI tool with your Ohio State credentials (lastname.#@osu.edu and password) before entering any institutional data above the S1 classification.
Security Review
Ohio State OTDI guidance says unvetted AI tools should not receive institutional data above S1, and users should enter only the data necessary when using approved AI tools with institutional data.
Review: Agent reviewed
Normalized value: unvetted_ai_tools_no_institutional_data_above_s1
Original evidence
Evidence 1While it is a best practice to only use S1 (public) or S2 (internal) institutional data in approved AI tools, S3 (private) and/or S4 (restricted) data can be included when necessary for your education, business or research use case. Keep in mind that all software carries a risk of data breaches, so only enter the data necessary to achieve your goal. University community members should not enter any institutional data that is categorized above the S1 (public) level into unvetted AI tools.
Privacy
Ohio State responsible-use guidance says public GenAI prompts should be considered public and used to train AI models, while prompts and results in Ohio State-provided Copilot Chat, Gemini, and Microsoft 365 Copilot are protected inside OSU's environment and not used to train public AI models.
Review: Agent reviewed
Normalized value: osu_provided_ai_prompts_protected_not_public_training
Original evidence
Evidence 1Prompts should be considered public, much like social media posts, and are used to train AI models. Unlike the public tools, your prompts and results are protected inside OSU's environment and not used to train public AI models.
Teaching
Ohio State teaching guidance recommends that instructors establish expectations for academic integrity and AI use early, include university academic-integrity policies in the syllabus, and communicate course-specific GenAI expectations.
Review: Agent reviewed
Normalized value: instructors_should_set_course_specific_ai_expectations
Original evidence
Evidence 1It's important to establish expectations for academic integrity--both in general and specific to AI use--early in the term. Include university policies for academic integrity in your syllabus. Openly communicating the university's policies for academic integrity in your syllabus, as well as your own policy for GenAI use, will level set expectations for your course as well as for students' academic careers at the university.
Ai Tool Treatment
Ohio State teaching guidance says the university has reviewed and vetted standalone generative AI applications for faculty, staff, and students, including Microsoft Copilot, Adobe Firefly, and Google Gemini.
Review: Agent reviewed
Normalized value: vetted_standalone_genai_tools_include_copilot_firefly_gemini
Original evidence
Evidence 1Ohio State has reviewed and vetted a number of standalone generative AI applications for use by faculty, staff, and students. Among the tools currently vetted are Microsoft Copilot, Adobe Firefly, and Google Gemini.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
4 source attribution
AI Considerations for Teaching and Learning | Teaching and Learning Resource Center
teaching.resources.osu.edu
Crafting Policy for Student Use of Artificial Intelligence | ASC Office of Distance Education
ascode.osu.edu
Responsible Use | Artificial Intelligence at Ohio State
ai.osu.edu
Security and Privacy Statement on Artificial Intelligence | Office of Technology and Digital Innovation
it.osu.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.