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.
Tianjin, China (Mainland)
Tianjin University
Tianjin University is listed as QS 2026 rank =257. Tianjin University has 3 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Tianjin University is listed as QS 2026 rank =257. Tianjin University has 3 source-backed AI policy claim records from 1 official source attribution. 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 Tianjin 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 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/tianjin-university.json. The entity-level confidence is 90%. 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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current 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
Tianjin University has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Tianjin University has 2 source-backed public claims for exams; deterministic analysis status: restricted.
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.
Academic integrity
Tianjin University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
Tianjin University has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
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
Tianjin University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Tianjin University has 2 source-backed public claims 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
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 reviewed
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 reviewed
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 reviewed
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
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
1 source attribution
天津大学2020年工作总结和2021年工作计划
xxgkw.tju.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.