Policy presence
Florida International University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Miami, United States
Florida International University
Florida International University has 5 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
Florida International University AI policy short answer
v1 public contract
Florida International University has 5 source-backed AI policy claims from 5 official source attributions, including 5 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 17, 2026. Discovery context: Florida International University is listed as QS 2026 rank =582.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Florida International University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/florida-international-university.json. The entity-level confidence is 90%. 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.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- 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.
Review: Agent reviewed
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.
Review: Machine candidate
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
Florida International University has 1 source-backed public claim for ai disclosure; deterministic analysis status: unclear.
Coursework
Florida International University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Florida International University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Florida International University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Florida International University has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
Florida International University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Florida International University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
Security and procurement
Florida International University has 1 source-backed public claim for security and procurement; deterministic analysis status: conditionally_allowed.
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
5 reviewed evidence-backed public claim
Academic Integrity
FIU CAT states that SCAI handles academic misconduct cases under the Student Conduct and Honor Code, including cheating or plagiarism based on how a student may have used AI or automated tools in the classroom.
Review: Agent reviewed
Normalized value: ai_misuse_handled_under_student_conduct_and_honor_code_context
Original evidence
Evidence 1FIU’s Student Conduct and Academic Integrity (SCAI) office is charged with handling all university cases of academic misconduct based on the Student Conduct and Honor Code. This includes instances of cheating or plagiarism based on how a student may have used AI (or automated tools) in the classroom.
Teaching
FIU's Center for the Advancement of Teaching advises instructors to clearly define acceptable AI use in course expectations and syllabus policy, including which tools are permitted and how they may or may not be used.
Review: Agent reviewed
Normalized value: faculty_ai_syllabus_expectations_guidance
Original evidence
Evidence 1Begin by specifying which AI tools (e.g., ChatGPT, Grammarly, AI-driven research assistants) are permitted for assignments, projects, or examinations, and clearly state how they should—or should not—be used.
Academic Integrity
An official FIU Syllabi sample AI-use PDF includes sample academic integrity language stating that AI-generated content without proper attribution or authorization is another form of plagiarism.
Review: Agent reviewed
Normalized value: sample_syllabus_ai_generated_content_attribution_authorization_plagiarism
Original evidence
Evidence 1Content generated by an Artificial Intelligence third-party service or site (AI-generated content) without proper attribution or authorization is another form of plagiarism.
Privacy
FIU Libraries' student AI guide advises caution about supplying sensitive, personal, confidential, or proprietary information or data when interacting with AI models.
Review: Agent reviewed
Normalized value: student_ai_sensitive_information_caution
Original evidence
Evidence 1When interacting with AI models, you should be cautious about supplying sensitive information, including personal, confidential, or proprietary information or data.
Teaching
FIU Libraries' AI guide tells students who want to use AI in a course to ask their professor for that professor's individual AI-use policy.
Review: Agent reviewed
Normalized value: course_level_ai_use_depends_on_instructor_policy_guidance
Original evidence
Evidence 1Want to use AI in your FIU course? Always ask your professor for their individual policies on AI use.
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
5 source attribution
Academic Writing + Students - Artificial Intelligence Now: ChatGPT + AI Literacy Toolbox - FIU Libraries
library.fiu.edu
Sample Language - Use of AI - FIU Syllabi
syllabi.fiu.edu
Setting Expectations and AI Policy | FIU Center for the Advancement of Teaching
cat.fiu.edu
Students + AI Use - Artificial Intelligence Now: ChatGPT + AI Literacy Toolbox - FIU Libraries
library.fiu.edu
Teaching & Learning with AI | FIU Center for the Advancement of Teaching
cat.fiu.edu
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.
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.