Beijing, China (Mainland)

China University of Petroleum, Beijing

China University of Petroleum, Beijing has 3 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 18, 2026.

China University of Petroleum, Beijing AI policy short answer

v1 public contract

China University of Petroleum, Beijing has 3 source-backed AI policy claims from 3 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 18, 2026. Discovery context: China University of Petroleum, Beijing is listed as QS 2026 rank =686.

Citation-ready summary

As of this public record, University AI Policy Tracker lists China University of Petroleum, Beijing as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 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/china-university-of-petroleum-beijing.json. The entity-level confidence is 91%. 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/china-university-of-petroleum-beijing.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current 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 score45/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence76%

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.

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

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

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

Ai Tool Treatment

China University of Petroleum, Beijing Library stated that it had opened trial access to CNKI AI Academic Research Assistant to strengthen AI tool application capability and improve academic research, work, and study efficiency.

Review: Agent reviewedConfidence91%

Normalized value: library_announced_cnki_ai_academic_research_assistant_trial

Original evidence

Evidence 1
为进一步加强人工智能工具应用能力,提升学术研究、工作学习的效率和质量,经与中国知网深入沟通,我单位现已开通AI学术研究助手的试用,请大家积极使用并给予反馈!

Localized display only

The library page says the unit had opened trial access to CNKI AI Academic Research Assistant to improve AI tool application capability and academic research, work, and study efficiency.

Ai Tool Treatment

China University of Petroleum, Beijing Library announced a time-limited trial of the ChatLibrary AI intelligent service platform through September 24, 2024.

Review: Agent reviewedConfidence90%

Normalized value: library_announced_chatlibrary_ai_trial_until_2024_09_24

Original evidence

Evidence 1
关于开通“ChatLibrary AI智能平台”的试用通知。“ChatLibrary AI智能服务平台”采用最新的人工智能技术,该平台能够全面协助科研人员、教师和学生解决在学术研究、教学工作、学习进程、写作创作以及日常生活中遇到的各种问题。

Localized display only

The library notice announced trial access to ChatLibrary AI and described it as assisting researchers, teachers, and students across research, teaching, learning, writing, and daily tasks.

Academic Integrity

For the Artificial Intelligence College undergraduate research training plan, the notice says plagiarism or other academic misconduct will be handled under the university's academic ethics rules for participating students and supervising teachers.

Review: Agent reviewedConfidence88%

Normalized value: ai_college_undergraduate_research_training_academic_misconduct_consequences

Original evidence

Evidence 1
(四)严格考察。一期不合格的学生,不允许再和当期导师配对申报。一旦发现抄袭、剽窃等学术不端行为,按学校学术道德相关规定追究参与学生和指导教师责任。

Localized display only

For this AI College undergraduate research training plan, the notice says plagiarism or other academic misconduct will be handled under school academic ethics rules for participating students and supervising teachers.

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 18, 2026Last changedMay 18, 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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