Miami, United States

University of Miami

University of Miami is listed as QS 2026 rank =314. University of Miami has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

University of Miami is listed as QS 2026 rank =314. University of Miami has 4 source-backed AI policy claim records from 3 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 University of Miami as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-miami.json. The entity-level confidence is 94%. 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 coverage4 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-miami.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

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 confidence76%

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

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

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

4 reviewed evidence-backed public claim

Privacy

University of Miami AI at The U guidance says patient, student, regulated, internal, and confidential data are not permitted in public AI tools.

Review: Agent reviewedConfidence94%

Normalized value: no_confidential_or_regulated_data_in_public_ai_tools

Original evidence

Evidence 1
The University of Miami does not permit the use of any patient, student, regulated, internal, and/or confidential data in any public AI tool. Entering data into these platforms could lead to public disclosure and loss of our ability to protect University information, including intellectual property.

Academic Integrity

University of Miami PETAL guidance states that AI-use rules and practices may vary by class and discipline, and that students are responsible for staying informed about instructor expectations and asking when in doubt.

Review: Agent reviewedConfidence90%

Normalized value: course_specific_ai_rules_academic_integrity

Original evidence

Evidence 1
The rules and practices on the use of AI may vary from class to class, discipline to discipline. Do not assume that what is acceptable in a Computer Science class will be acceptable in a Philosophy class. It is the student’s responsibility to stay informed as to the instructor’s expectations. When in doubt, ask.

Ai Tool Treatment

University of Miami AI at The U guidance encourages using University enterprise AI tools such as Copilot and Gemini as alternatives to public tools because they include some data protection.

Review: Agent reviewedConfidence90%

Normalized value: enterprise_ai_tools_encouraged_as_public_tool_alternatives

Original evidence

Evidence 1
The University provides access to leading AI tools—such as Copilot and Gemini—which include some data protection. We encourage you to use the University's enterprise AI tools as alternatives to public tools.

Teaching

The University of Miami Writing Center says its AI support aligns with each professor's class and assignment expectations, and its consultants will not recommend AI tools that violate instructor expectations or academic integrity.

Review: Agent reviewedConfidence86%

Normalized value: writing_center_ai_support_follows_instructor_expectations

Original evidence

Evidence 1
Our primary approach to AI is to ensure that our support aligns with the guidelines and expectations set by each professor for that class and the individual assignment.

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

3 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 16, 2026Last changedMay 16, 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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