Policy presence
University of South Carolina has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Columbia, United States
University of South Carolina
University of South Carolina has 5 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
University of South Carolina AI policy short answer
v1 public contract
University of South Carolina has 5 source-backed AI policy claims from 4 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: University of South Carolina is listed as QS 2026 rank =628.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of South Carolina 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 4 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-carolina.json. The entity-level confidence is 91%. 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.
- Evidence includes AI tool treatment claims.
- Evidence includes Security review claims.
- Named AI services detected in public claims: ChatGPT.
- 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
University of South Carolina has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of South Carolina has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of South Carolina has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of South Carolina has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of South Carolina has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of South Carolina has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of South Carolina has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of South Carolina has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of South Carolina has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University of South Carolina has 2 source-backed public claims for security and procurement; deterministic analysis status: restricted.
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
University of South Carolina Student Conduct and Academic Integrity guidance says existing academic integrity policies apply regardless of the tools used, and AI use that violates course rules or misrepresents authorship can be investigated and adjudicated under the current Code.
Review: Agent reviewed
Normalized value: existing_academic_integrity_rules_apply_to_ai_misuse
Original evidence
Evidence 1Existing policies apply regardless of the tools used, meaning the use of AI in ways that violate course rules or misrepresent authorship can be investigated and adjudicated under the current Code.
Teaching
University of South Carolina Center for Teaching Excellence guidance says faculty must convey in course syllabi what AI use is allowed or prohibited and any student responsibilities for documenting AI use.
Review: Agent reviewed
Normalized value: faculty_syllabus_ai_expectations_and_documentation
Original evidence
Evidence 1At a minimum, faculty must convey in their course syllabi what is allowed or prohibited, as well as any responsibilities students have for documenting their AI use.
Privacy
University of South Carolina Division of IT guidance for students says conversations and files in USC's ChatGPT Edu environment stay private within USC's secure system and are not used to train external AI models.
Review: Agent reviewed
Normalized value: usc_chatgpt_edu_conversations_files_not_used_for_external_model_training
Original evidence
Evidence 1Conversations and files stay private within USC's secure system-nothing you share is used to train external AI models.
Ai Tool Treatment
University of South Carolina Student Conduct and Academic Integrity guidance tells students to ask their course instructor before using AI bots such as ChatGPT for homework, because the professor may restrict the use of artificial intelligence services.
Review: Agent reviewed
Normalized value: students_ask_instructor_before_ai_homework_use
Original evidence
Evidence 1Ask your course instructor. When you ask, be sure to explain exactly how you plan to use the platform. The professor may restrict the use of artificial intelligence services.
Security Review
University of South Carolina Division of IT guidance says unauthorized third-party AI bots compromise USC network security and that proposed software, including add-ins or add-on apps, should be reviewed and approved by the Technical Review Board after the IT Purchasing process.
Review: Agent reviewed
Normalized value: third_party_ai_bots_security_risk_and_technical_review_board_review
Original evidence
Evidence 1Unauthorized third-party AI bots compromise the security of USC's network. All proposed software, including add-ins or add-on apps, should be reviewed and approved by the Technical Review Board after following the IT Purchasing process.
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
4 source attribution
Artificial Intelligence and Academic Integrity at USC
sc.edu
Guiding Principles for AI Use in Teaching
sc.edu
Students - Division of Information Technology
sc.edu
Update about Third Party Apps in USC Tenant
sc.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.