Tianjin, China (Mainland)

Tianjin University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources1Source languagezh-CNPublic JSON/api/public/v1/universities/tianjin-university.json

Policy profile

Coverage score55/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence74%

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

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

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

RecommendedMachine candidateConfidence73%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

3 reviewed evidence-backed public claim

Academic Integrity

Tianjin University's 2021 work plan says the university would emphasize research integrity and academic-conduct development, strengthen research-integrity publicity, education, and spot checks, and maintain zero tolerance for academic misconduct.

Review: Agent reviewedConfidence90%

Normalized value: research_integrity_zero_tolerance

Original evidence

Evidence 1
重视科研诚信和学风建设,强化科研诚信宣传、教育和抽查工作,坚持对学术不端行为零容忍,营造诚实守信、潜心研究、勇攀高峰的良好氛围。

Localized display only

The work plan says the university emphasizes research integrity, strengthens publicity, education, and spot checks, and maintains zero tolerance for academic misconduct.

Teaching

Tianjin University's 2021 work plan says the university would use big data, artificial intelligence, and deep learning techniques to study learning patterns and improve education and teaching models.

Review: Agent reviewedConfidence86%

Normalized value: institutional_plan_ai_education_technology

Original evidence

Evidence 1
推进技术深度融入。建立教育教学知识管理系统,运用大数据、人工智能、深度学习等技术手段,深化学习规律研究,改进教育教学模式。

Localized display only

The work plan calls for deeper technology integration, including big data, AI, and deep learning, to study learning patterns and improve teaching models.

Research

Tianjin University's 2021 work plan identifies artificial intelligence as an emerging and interdisciplinary area and says the university would promote deep integration of AI with all disciplines.

Review: Agent reviewedConfidence85%

Normalized value: institutional_plan_ai_discipline_integration

Original evidence

Evidence 1
尽快推进网络空间安全、人工智能、储能等新兴和交叉学科、学位点建设,重点推动人工智能与各学科的深度融合。

Localized display only

The work plan identifies AI as an emerging and interdisciplinary field and calls for deep integration of AI with each discipline.

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

Change log

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

Corrections

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