Nanjing, China (Mainland)

Southeast University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources2Source languagezh-HansPublic JSON/api/public/v1/universities/southeast-university.json

Policy profile

Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence71%

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

Southeast University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence73%Evidence1Sources1

Academic integrity

Southeast University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence73%Evidence1Sources1

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

Research guidance

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

RecommendedMachine candidateConfidence76%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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

4 reviewed evidence-backed public claim

Teaching

Southeast University's Graduate School opened 2026 school-level applications for AI-enabled graduate education projects in three categories: AI+ graduate courses, AI-enabled graduate teaching reform research projects, and AI-enabled graduate education application scenarios.

Review: Agent reviewedConfidence89%

Normalized value: AI-enabled graduate education project call

Original evidence

Evidence 1
启动2026年AI赋能研究生教育相关校级项目申报工作,本次申报范围涵盖“AI+”研究生课程、AI赋能研究生教育教学专项教改研究课题、AI赋能研究生教育应用场景典型案例三类。

Localized display only

The notice starts 2026 school-level applications for AI-enabled graduate education projects in three categories: AI+ graduate courses, AI-enabled graduate teaching reform projects, and application-scenario cases.

Academic Integrity

For AI+ graduate course project applications, the Graduate School notice says proposed course content must comply with national laws, policies, correct orientation requirements, confidentiality restrictions, and intellectual property requirements.

Review: Agent reviewedConfidence86%

Normalized value: AI+ graduate course application content compliance requirements

Original evidence

Evidence 1
所申报的课程内容须遵守党的教育方针,遵守国家的法律法规,符合相关政策要求,导向正确,弘扬社会主义核心价值观。不得存在任何政治性、思想性、科学性和规范性问题,无危害国家安全、涉密及其他不适宜网络公开传播的内容,无侵犯他人知识产权内容。

Localized display only

The notice requires proposed course content to comply with education, law, policy, orientation, confidentiality, public dissemination, and intellectual-property requirements.

Teaching

The 2026 Graduate School notice says AI-enabled graduate education application-scenario cases should show AI's value in graduate training and should follow AI-related usage norms to ensure safe application.

Review: Agent reviewedConfidence84%

Normalized value: AI-enabled application scenario safe-use guidance

Original evidence

Evidence 1
案例应具有创新性、示范性和可推广性,能充分体现人工智能在研究生培养中的应用价值,同时要遵循人工智能相关使用规范,确保安全应用。

Localized display only

Application-scenario cases should show AI's value in graduate training and follow AI-related usage norms to ensure safe application.

Teaching

An official Southeast University repost reports that Vice President Jin Shi said the university built an AI-MUST curriculum system covering all majors and revised course syllabi to add AI literacy and technical-support objectives.

Review: Agent reviewedConfidence72%

Normalized value: AI-MUST curriculum system reported by official repost

Original evidence

Evidence 1
金石介绍,东南大学建设了覆盖所有专业的“AI-MUST”课程体系,将人工智能领域的新进展与专业知识紧密结合。全面修订所有课程教学大纲,增设凸显人工智能素养与技术支撑的课程目标。

Localized display only

The official repost reports Jin Shi saying SEU built an AI-MUST curriculum system covering all majors and revised syllabi to add AI literacy and technical-support objectives.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

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

Corrections

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