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)
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.
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.
Sichuan University has 3 source-backed public claims for coursework; deterministic analysis status: recommended.
Sichuan University has 3 source-backed public claims for exams; deterministic analysis status: recommended.
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.
Sichuan University has 3 source-backed public claims for academic integrity; deterministic analysis status: recommended.
Sichuan University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Sichuan University has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
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.
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.
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.
3 reviewed evidence-backed public claim
Academic Integrity
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
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
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.
0 machine or needs-review claim
1 source attribution
jwc.scu.edu.cn