Tucson, United States

The University of Arizona

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources4Source languageenPublic JSON/api/public/v1/universities/university-of-arizona.json

Policy profile

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

5 reviewed evidence-backed public claim

Academic Integrity

The University of Arizona student AI guidance tells students they can use AI for assignments only if the instructor says it is OK, and says unpermitted use could violate the Code of Academic Integrity.

Review: Agent reviewedConfidence95%

Normalized value: students_use_ai_for_assignments_only_if_instructor_approves

Original evidence

Evidence 1
Ask before you use AI: You can only use AI for assignments if your instructor says it’s OK. Using AI without permission could be a violation of the Code of Academic Integrity and may be treated as academic misconduct.

Source Status

The University of Arizona's central AI guidance states that there is currently no single university-wide policy specific to AI use in coursework, while instructors are encouraged to set clear course-material expectations.

Review: Agent reviewedConfidence94%

Normalized value: no_single_university_wide_coursework_ai_policy_stated

Original evidence

Evidence 1
While there is currently no single, university-wide policy specific to AI, instructors are encouraged to set clear expectations in their course materials.

Privacy

The University of Arizona AI Tools & Data Use Guide lists free or paid AI tools without an enterprise license, including ChatGPT, Claude, and Gemini, as allowed for public data and not allowed for internal, restricted, FERPA, HIPAA, PII, PCI, ITAR/EAR, IRB, CUI, or GLBA data.

Review: Agent reviewedConfidence94%

Normalized value: nonenterprise_ai_tools_public_data_only

Original evidence

Evidence 1
Free AI tools, no enterprise license (ChatGPT, Claude, Gemini, etc.) | Yes | No | No | No | No ... Paid AI tools, no enterprise license (ChatGPT, Claude, Gemini, etc.) | Yes | No | No | No | No

Localized display only

The data-use table lists non-enterprise free and paid AI tools as allowed for Public data and not allowed for the listed non-public or regulated data categories.

Academic Integrity

The University of Arizona says generative AI use in coursework is guided by the Code of Academic Integrity, and submitting AI-generated work as one's own without permission is included in the academic-dishonesty concern described by the university.

Review: Agent reviewedConfidence93%

Normalized value: coursework_ai_guided_by_academic_integrity_code

Original evidence

Evidence 1
At the University of Arizona, the use of generative AI tools—such as ChatGPT—in coursework is guided by the Code of Academic Integrity, which prohibits all forms of academic dishonesty. This includes submitting AI-generated work as your own without permission.

Teaching

University of Arizona UCATT syllabus guidance suggests instructors include a syllabus statement about AI tools and discuss appropriate, ethical AI use in the course context.

Review: Agent reviewedConfidence91%

Normalized value: ucatt_suggests_ai_syllabus_statement

Original evidence

Evidence 1
The following guidance aims to help instructors thinking about the impact of generative artificial intelligence (AI) tools on teaching and learning. Specifically these guidelines suggest instructors: include a syllabus statement regarding use of AI tools; create transparent and productive learning environments by explicitly discussing appropriate, creative, and/or ethical AI use within a course, discipline, and/or profession.

Candidate claims

0 machine or needs-review claim

Official sources

4 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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