Policy presence
University of South Florida has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tampa, United States
University of South Florida
University of South Florida has 3 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 18, 2026.
University of South Florida AI policy short answer
v1 public contract
University of South Florida has 3 source-backed AI policy claims from 3 official source attributions, including 3 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 18, 2026. Discovery context: University of South Florida is listed as QS 2026 rank =654.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of South Florida as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 3 source-backed claims, including 3 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-south-florida.json. The entity-level confidence is 96%. 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 Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current 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
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.
Coursework
University of South Florida has 2 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of South Florida has 2 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of South Florida has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
University of South Florida has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
University of South Florida has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of South Florida has 2 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
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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
3 reviewed evidence-backed public claim
Privacy
USF guidance tells users not to share student data, employment data, or other protected or sensitive information when using publicly available AI tools, and to continue complying with FERPA and HIPAA.
Review: Agent reviewed
Normalized value: no_sensitive_or_protected_data_in_public_ai_tools
Original evidence
Evidence 1Users should not share student data, employment data, and other protected or sensitive information. Users must continue to comply with data privacy regulations including FERPA and HIPAA when interacting with public AI tools.
Localized display only
USF warns users not to share student, employment, protected, or sensitive data with public AI tools and to continue complying with FERPA and HIPAA.
Ai Tool Treatment
USF states that use of generative AI tools within university coursework is at the discretion of the instructor, and students are expected to follow course-specific policies.
Review: Agent reviewed
Normalized value: coursework_use_at_instructor_discretion
Original evidence
Evidence 1use of genAI tools within university coursework is at the discretion of the instructor and students are expected to follow course-specific policies.
Localized display only
USF says coursework use of GenAI tools is left to the instructor, and students must follow course-specific policies.
Teaching
USF faculty guidance says instructors should establish and communicate clear generative AI course policies, and provides sample syllabus frameworks for either acceptable or restricted generative AI use.
Review: Agent reviewed
Normalized value: faculty_guidance_for_clear_course_ai_policies
Original evidence
Evidence 1it's essential to establish clear policies that are communicated to students from the outset of a course. The information below is meant to provide a framework for either allowing AI use in your course or restricts the use of generative AI tools in your courses.
Localized display only
USF's faculty guidance recommends clear course AI policies and supplies frameworks for allowing or restricting generative 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
3 source attribution
Course Guidance | Gen AI at USF | Generative Artificial Intelligence | University of South Florida
genai.usf.edu
Syllabus and Course Guidance on Artificial Intelligence
usf.edu
University Guidance | Gen AI at USF | Generative Artificial Intelligence | University of South Florida
genai.usf.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.