Policy presence
University of Southern California has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Los Angeles, United States
University of Southern California is listed as QS 2026 rank 146. University of Southern California has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
University of Southern California is listed as QS 2026 rank 146. University of Southern California has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists University of Southern California as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 8 source-backed claims, including 8 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/university-of-southern-california.json. The entity-level confidence is 97%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Southern California has 5 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 Southern California has 5 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
University of Southern California has 5 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
University of Southern California has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Southern California has 3 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
University of Southern California has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Southern California has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Southern California has 3 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 Southern California has 3 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.
8 reviewed evidence-backed public claim
Privacy
Normalized value: sensitive_data_restrictions_for_individual_and_enterprise_ai_tools
Original evidence
Evidence 1No Internal Use Only Data, Confidential Data, or Restricted Confidential Data may be input into any Individual AI Tools. ... Restricted Confidential Data may not be entered into any AI Tool, including USC Enterprise AI Tools, unless expressly approved in writing by the Office of Ethics and Compliance (OEC).
Academic Integrity
Normalized value: coursework_ai_use_requires_instructor_guidance
Original evidence
Evidence 1Students are expected to confirm with their instructors what generative AI use, if any, is permitted in their coursework before using it. ... access to ChatGPT Edu does not indicate a shift in policy or expectation.
Academic Integrity
Normalized value: representing_ai_generated_material_as_student_work_is_plagiarism
Original evidence
Evidence 1Work authored by another (including material created by ChatGPT and other Generative AI tools) but represented as the student’s work, whether paraphrased or copied verbatim or in near-verbatim form, is considered plagiarism.
Ai Tool Treatment
Normalized value: users_responsible_for_ai_output_accuracy_in_usc_work_product
Original evidence
Evidence 1Covered Individuals are responsible for checking outputs from Generative AI tools for accuracy and completeness, and are responsible for any output generated by their use of an AI Tool when that output is used in USC work product.
Procurement
Normalized value: departments_must_consult_before_acquiring_individual_ai_tools
Original evidence
Evidence 1Departments, schools, and units may not acquire Individual AI Tools without first consulting the Office of Cybersecurity, Office of Ethics and Compliance, and the Office of the General Counsel.
Academic Integrity
Normalized value: ai_detection_evidence_insufficient_without_contextual_review
Original evidence
Evidence 1Instructors should exercise caution when using AI detection tools and prioritize their own professional judgment when evaluating student work. ... relying on evidence created by AI detection tools is insufficient to determine responsibility without additional analysis or other supporting elements.
Ai Tool Treatment
Normalized value: chatgpt_edu_workspace_no_openai_general_model_training
Original evidence
Evidence 1USC’s ChatGPT Edu workspace provides a platform for students, faculty, and staff to explore generative AI without training OpenAI’s general models.
Security Review
Normalized value: codex_only_public_internal_use_data_at_time_of_guidance
Original evidence
Evidence 1Codex is available to those that meet the approval criteria. ... As Codex is a tool native to ChatGPT, only Public and Internal Use data may be used at this time. Confidential data must not be entered into ChatGPT and, by extension, Codex.
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.
5 source attribution
academicintegrity.usc.edu
ai.usc.edu
academicintegrity.usc.edu
policy.usc.edu
itservices.usc.edu
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