Changchun, China (Mainland)

Jilin University

Jilin University is listed as QS 2026 rank =473. Jilin University has 3 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Jilin University is listed as QS 2026 rank =473. Jilin University has 3 source-backed AI policy claim records from 3 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 Jilin 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 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/jilin-university.json. The entity-level confidence is 82%. 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/jilin-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Source status claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources3

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 score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence66%

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.

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

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

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

Official JLU News articles report university-leader statements that teachers and students should follow academic norms, truth-seeking scientific spirit, disclose use of AI tools when using AI-generated content, and retain user responsibility.

Review: Agent reviewedConfidence82%

Normalized value: news_advisory_disclose_ai_generated_content_user_responsibility

Original evidence

Evidence 1
师生要坚持求真求实的科学精神,遵守学术规范,使用人工智能生成内容时,要如实声明使用人工智能工具的情况,并坚持使用者主体责任。

Localized display only

Teachers and students should follow academic norms, disclose AI-tool use when using AI-generated content, and retain user responsibility.

Original evidence

Evidence 2
要正视人工智能带来的诚信、伦理、隐私等方面的挑战,持续加强师德与学风建设,引导师生践行求真求是的科学精神,遵守科学伦理和学术规范,使用人工智能生成内容时,要如实声明使用人工智能工具的情况,并坚持使用者主体责任。

Localized display only

JLU News reports a degree-committee meeting statement on integrity, ethics, privacy, disclosure of AI-tool use, and user responsibility.

Teaching

In a 2025 undergraduate education meeting article, Jilin University reported a university-leader statement that AI use in teaching should be boundary-managed, with students guided to understand AI as an auxiliary tool and management systems clarifying specific AI-tool use norms for teachers and students.

Review: Agent reviewedConfidence78%

Normalized value: news_advisory_ai_use_boundaries_teacher_student_norms

Original evidence

Evidence 1
一方面,要引导学生正确理解AI作为辅助工具的性质与局限性,避免过度依赖AI完成学习任务,而是利用AI协助完成更高层次的任务,培养学生的创造力和品判性思维,提高学习和研究的效率。另一方面,要在管理制度中明确AI使用的边界,明确教师和学生在教学过程中使用AI工具的具体规范。

Localized display only

JLU News reports that students should understand AI as an auxiliary tool and that management systems should clarify AI-use boundaries and specific teacher/student norms.

Source Status

This crawl did not verify a standalone central Jilin University generative-AI policy page; the accessible official sources found were JLU News articles discussing AI-era teaching, academic norms, disclosure, and user responsibility.

Review: Agent reviewedConfidence67%

Normalized value: no_central_policy_verified_limited_official_news_sources

Original evidence

Evidence 1
3月21日下午,校长张希到计算机科学与技术学院、软件学院、人工智能学院实地调研并召开座谈会,听取学校人工智能教育和科研工作情况汇报,研讨推动人工智能赋能教学、科研工作。

Localized display only

The source is an official JLU News report on an AI education and research visit, not a standalone policy page.

Original evidence

Evidence 2
3月27日,吉林大学2025年本科教育工作会议在鼎新大讲堂召开,全面总结本科教育教学工作的成绩与经验,部署年度重点工作及审核评估整改任务,统筹推动本科教育高质量发展。

Localized display only

The source is an official JLU News report on a 2025 undergraduate education work meeting.

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

3 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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