University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Change log

University of Miami

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims4Sources3
University pagePublic JSON

Change summary

Current public record freshness and review state.

University of Miami currently has 4 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 16, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

University of Miami current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # University of Miami AI policy record
2+privacy: University of Miami AI at The U guidance says patient, student, regulated, internal, and confidential data are not permitted in public AI tools.
3+Evidence (en, e56bd1ffe10e): 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.
4+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.
5+Evidence (en, 64b6c2ff3d5f): 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.
6+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.
7+Evidence (en, e56bd1ffe10e): 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.
8+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.
9+Evidence (en, 71dc93e06cea): 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.

Claim changes

4 claim records

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%Evidence1Languagesen

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%Evidence1Languagesen

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%Evidence1Languagesen

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%Evidence1Languagesen

Source snapshots

3 source attributions