Columbus, United States

The Ohio State University

The Ohio State University has 9 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 9 reviewed claims. Last checked May 25, 2026.

The Ohio State University AI policy short answer

v1 public contract

The Ohio State University has 9 source-backed AI policy claims from 4 official source attributions, including 9 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 25, 2026. Discovery context: The Ohio State University is listed as QS 2026 rank 190.

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 25, 2026 and last changed on May 26, 2026. The record contains 9 source-backed claims, including 9 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.

Claim coverage9 reviewedSource languageenPublic JSON/api/public/v1/universities/ohio-state-university.json

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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims9Reviewed9Candidate0Official sources4

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.

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

The Ohio State University has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence80%Evidence2Sources2

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

The Ohio State University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

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

9 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 reviewedConfidence95%

Normalized value: student_genai_coursework_requires_instructor_permission

原始证据

Evidence 1
Students 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 reviewedConfidence95%

Normalized value: genai_assignment_use_requires_specific_instructor_authorization

原始证据

Evidence 1
To 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 reviewedConfidence94%

Normalized value: personal_ai_accounts_not_for_institutional_data_above_s1

原始证据

Evidence 1
Keep 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 reviewedConfidence94%

Normalized value: unvetted_ai_tools_no_institutional_data_above_s1

原始证据

Evidence 1
While 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 reviewedConfidence93%

Normalized value: osu_provided_ai_prompts_protected_not_public_training

原始证据

Evidence 1
Prompts 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 reviewedConfidence92%

Normalized value: instructors_should_set_course_specific_ai_expectations

原始证据

Evidence 1
It'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 reviewedConfidence91%

Normalized value: vetted_standalone_genai_tools_include_copilot_firefly_gemini

原始证据

Evidence 1
Ohio 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.

Teaching

Ohio State Arts and Sciences guidance provides sample course-level prohibition language stating students are not permitted to use AI tools in a course when that is the instructor's policy.

Review: Agent reviewedConfidence86%

Normalized value: OSU ASC guidance offers course-level no-AI sample policy language.

原始证据

Evidence 1
Course-level Prohibition of Student Use of AI If students may not make any use of AI in your course, we recommend a statement along the following lines: Because you will best accomplish the goals of this course by undertaking all activities and assessments without AI assistance, you are not permitted to use any AI tools in this course.

Teaching

Ohio State guidance says instructors who permit AI should provide clear and precise parameters about tools, features, assignments, activities, and allowable use.

Review: Agent reviewedConfidence86%

Normalized value: OSU ASC guidance recommends precise course parameters when AI use is permitted.

原始证据

Evidence 1
If you want to permit students to use AI, it is important to provide clear and precise parameters about the kind of use you will permit, in order to avoid misunderstandings. This may vary by assignment and activity, and type of AI tool.

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

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.

Last checkedMay 25, 2026Last changedMay 26, 2026Open change log

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.

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