Guangzhou, China (Mainland)

Sun Yat-sen University

Sun Yat-sen University is listed as QS 2026 rank =276. Sun Yat-sen University has 3 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Sun Yat-sen University is listed as QS 2026 rank =276. Sun Yat-sen University has 3 source-backed AI policy claim records from 2 official source attributions. 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 Sun Yat-sen 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 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/sun-yat-sen-university.json. The entity-level confidence is 92%. 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.

Claim coverage3 reviewedSource languagezh-CNPublic JSON/api/public/v1/universities/sun-yat-sen-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources2

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.

Coverage score35/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence77%

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.

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

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

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

Sun Yat-sen University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

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

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

Sun Yat-sen University's academic ethics standards define academic misconduct to include fabrication, falsification, plagiarism, and other conduct that violates recognized academic norms or academic integrity.

Review: Agent reviewedConfidence92%

Normalized value: academic misconduct includes fabrication falsification plagiarism

Original evidence

Evidence 1
学术不端行为是指在科学研究和学术活动中的各种造假、篡改、剽窃和其他违反公认的学术准则、违背学术诚信的行为。包括以下行为:(一)抄袭、剽窃、侵占他人学术成果的行为;(二)伪造与篡改的行为;(三)虚假署名的行为。

Localized display only

SYSU defines academic misconduct as fabrication, falsification, plagiarism, and other conduct violating recognized academic norms or academic integrity, including plagiarism, falsification, and false authorship.

Academic Integrity

Sun Yat-sen University requires academic norms and academic-integrity education to be a necessary part of teacher training and student education, and says supervisors should educate and guide their students on academic norms and integrity.

Review: Agent reviewedConfidence91%

Normalized value: academic-integrity education required for teacher training and student education

Original evidence

Evidence 1
学校统筹完善学术诚信教育制度,将学术规范和学术诚信教育,作为教师培训和学生教育的必要内容,各院系、各部门应当以多种形式开展教育、培训,加强对新入职教工、新入学学生的学术诚信教育。教师对其指导的学生应当进行学术规范、学术诚信教育和指导。

Localized display only

SYSU says academic norms and integrity education are necessary parts of teacher training and student education, and supervisors should educate and guide students on academic norms and integrity.

Academic Integrity

For students found to have committed academic misconduct, Sun Yat-sen University lists possible measures including ending or revoking related research projects, temporary ineligibility for awards or research-project applications, revocation of academic awards or honors, and recovery or suspension of related awards or scholarships.

Review: Agent reviewedConfidence90%

Normalized value: student academic misconduct consequences listed

Original evidence

Evidence 1
学校对有学术不端行为的学生,依据行为性质和情节轻重,作出如下处理:(一)终止或者撤销相关的科研项目;(二)在一定期限内取消评优评先、申报科技计划(专项、基金等)项目等资格;(三)撤销学术奖励或者荣誉称号;(四)追回或者停发相关的奖励金、奖助学金等。

Localized display only

SYSU lists possible student academic-misconduct measures such as ending or revoking research projects, temporary ineligibility for awards or project applications, revoking honors, and recovering or suspending awards or scholarships.

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

2 source attribution

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.

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

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.

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