Chengdu, China (Mainland)

Sichuan University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources1Source languagezh-CNPublic JSON/api/public/v1/universities/sichuan-university.json

Policy profile

Coverage score45/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence78%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records1

AI tools

Sichuan University

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed

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 reviewedConfidence94%

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 reviewedConfidence92%

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 reviewedConfidence90%

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

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

Snapshot hash
cb0426c92c92ce0c5c9ac871c80559696c7a21777b293414632a4ccb2161109d

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

Back to universities