Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Chengdu, China (Mainland)
Sichuan University
Sichuan University is listed as QS 2026 rank =324. Sichuan University has 3 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Sichuan University is listed as QS 2026 rank =324. Sichuan University has 3 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Sichuan University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/sichuan-university.json. The entity-level confidence is 94%. 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 AI tool treatment claims.
- No specific AI service name is highlighted by the current 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
Sichuan University has 3 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
Sichuan University has 3 source-backed public claims for exams; deterministic analysis status: recommended.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Sichuan University has 3 source-backed public claims for academic integrity; deterministic analysis status: recommended.
Approved tools
Sichuan University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Sichuan University has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
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
Academic Integrity
For 2026 undergraduate theses, Sichuan University's Academic Affairs Office notice says colleges may choose AIGC detection tools, should detect 100% of theses, and should refer to AI-generated content proportions of no more than 20% for humanities/social-science theses and no more than 15% for science, engineering, and medical theses.
Review: Agent reviewed
Normalized value: undergraduate_thesis_aigc_reference_thresholds_20_15
Original evidence
Evidence 1学院可以自行选择AIGC检测工具，对本科毕业论文（设计）100%检测，学院保留检测结果备查。根据《四川大学本科教育教学人工智能工具应用规范（试行）》（川大教〔2025〕28号）文件精神，原则上，文科类毕业论文（设计）AI生成内容占比不超过20%，理工医科类毕业论文（设计）AI生成内容占比不超过15%。
Localized display only
The notice says colleges may choose AIGC detection tools, conduct 100% detection for undergraduate theses, and refer to 20% and 15% AI-generated-content proportions by discipline category.
Academic Integrity
Sichuan University's Academic Affairs Office notice says 2026 undergraduate thesis AIGC detection work runs from April 9 to mid-May and that colleges set detailed arrangements for graduates and supervisors.
Review: Agent reviewed
Normalized value: 2026_undergraduate_thesis_aigc_detection_window
Original evidence
Evidence 1三、2026届本科毕业论文（设计）AIGC检测工作从4月9日开始至5月中旬结束，具体安排由各学院自行制定，并通知每位毕业生及指导教师。
Localized display only
The notice says 2026 undergraduate thesis AIGC detection runs from April 9 to mid-May, with detailed arrangements set by each college and communicated to graduates and supervisors.
Ai Tool Treatment
For the 2026 undergraduate thesis detection process, Sichuan University's Academic Affairs Office notice says violations arising during AI tool use are handled according to 四川大学本科教育教学人工智能工具应用规范（试行）（川大教〔2025〕28号）.
Review: Agent reviewed
Normalized value: ai_tool_violations_handled_under_2025_28_standard
Original evidence
Evidence 1对于使用AI工具过程中出现的违规行为，按照《四川大学本科教育教学人工智能工具应用规范（试行）》（川大教〔2025〕28号）文件进行处理。
Localized display only
The notice says violations arising during AI tool use are handled according to Sichuan University's trial undergraduate education and teaching AI tools application standard.
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
1 source attribution
关于开展2026届本科毕业论文（设计）学术不端行为检测工作的通知
jwc.scu.edu.cn
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.