Policy presence
Southeast University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Nanjing, China (Mainland)
Southeast University
Southeast University is listed as QS 2026 rank =392. Southeast University has 4 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
Southeast University is listed as QS 2026 rank =392. Southeast University has 4 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 Southeast University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 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/southeast-university.json. The entity-level confidence is 89%. 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 Teaching claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
- Privacy, sensitive-data, or security language appears in the 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
Southeast University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Southeast University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Southeast University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Southeast University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
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.
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.
Teaching guidance
Southeast University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Southeast University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
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 reviewed
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 reviewed
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 reviewed
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 reviewed
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
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
【新华网】大模型时代的原住民怎么教
seu.edu.cn
关于开展东南大学2026年AI赋能研究生教育相关校级项目申报工作的通知
seugs.seu.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.