Policy presence
University of Miami has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Miami, United States
University of Miami has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
University of Miami has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
University of Miami has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
University of Miami has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Miami has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
University of Miami has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
University of Miami has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
University of Miami has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
University of Miami has 2 source-backed public claims for security and procurement; deterministic analysis status: conditionally_allowed.
4 reviewed evidence-backed public claim
Privacy
Normalized value: no_confidential_or_regulated_data_in_public_ai_tools
Original evidence
Evidence 1The 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
Normalized value: course_specific_ai_rules_academic_integrity
Original evidence
Evidence 1The 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
Normalized value: enterprise_ai_tools_encouraged_as_public_tool_alternatives
Original evidence
Evidence 1The 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
Normalized value: writing_center_ai_support_follows_instructor_expectations
Original evidence
Evidence 1Our 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.
0 machine or needs-review claim
3 source attribution
ai.it.miami.edu
writingstudies.as.miami.edu
petal.miami.edu