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.
Open, evidence-backed AI policy records for public reuse.
Zhengzhou, China (Mainland)
Zhengzhou University has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 17, 2026.
v1 public contract
Zhengzhou University has 3 source-backed AI policy claims from 2 official source attributions, including 3 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 17, 2026. Discovery context: Zhengzhou University is listed as QS 2026 rank =618.
As of this public record, University AI Policy Tracker lists Zhengzhou University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 3 source-backed claims, including 3 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/zhengzhou-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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
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.
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.
Zhengzhou University has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Zhengzhou University has 2 source-backed public claims for exams; deterministic analysis status: restricted.
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.
Zhengzhou University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Zhengzhou University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Zhengzhou University has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Zhengzhou University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Zhengzhou University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
3 reviewed evidence-backed public claim
Teaching
Normalized value: AI literacy standards announced for undergraduate students and teachers
Original evidence
Evidence 1本科生标准围绕“意识与认知、知识与技能、应用与创新、伦理与安全”四大维度,设立四级认证体系;教师标准聚焦“意识与认知、教学设计与实施、评估与优化、伦理与责任”四大模块,建立三级发展体系。
Localized display only
The undergraduate standard covers awareness/cognition, knowledge/skills, application/innovation, and ethics/safety; the teacher standard covers awareness/cognition, teaching design/implementation, evaluation/optimization, and ethics/responsibility.
Research
Normalized value: AI use in research misconduct risk is within academic ethics committee duties
Original evidence
Evidence 1学术道德委员会职责:...(四)分析研究学校在学术道德方面存在的问题并提出建议,研判人工智能技术在科研活动应用中可能存在的失信行为;
Localized display only
The Academic Ethics Committee's duties include analyzing academic-ethics problems and studying/judging possible dishonest conduct from AI technology use in research activities.
Ai Tool Treatment
Normalized value: AI literacy implementation support system
Original evidence
Evidence 1为保障标准落地,学校将构建课程教学、学习资源、实践平台、校园文化、激励保障“五位一体”支撑体系,包括开设人工智能通识必修课、建设“AI+专业”课程群、开放校级AI实验平台、举办AI文化节与创新大赛、建立与教学评价及职称评审适度挂钩的激励机制等。
Localized display only
For implementation, the university says it will build a five-part support system including a required AI general course, AI plus major course clusters, a university AI experiment platform, AI cultural activities and competitions, and incentive mechanisms.
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.
2 source attribution
zzu.edu.cn
www7.zzu.edu.cn
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