Xuzhou, China (Mainland)

China University of Mining and Technology

China University of Mining and Technology has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 18, 2026.

China University of Mining and Technology AI policy short answer

v1 public contract

China University of Mining and Technology has 2 source-backed AI policy claims from 2 official source attributions, including 2 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 Mining and Technology is listed as QS 2026 rank =654.

Citation-ready summary

As of this public record, University AI Policy Tracker lists China University of Mining and Technology as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 2 source-backed claims, including 2 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/china-university-of-mining-and-technology.json. The entity-level confidence is 84%. 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 coverage2 reviewedSource languagezh-CNPublic JSON/api/public/v1/universities/china-university-of-mining-and-technology.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2

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 score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence71%

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.

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

Academic integrity

China University of Mining and Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1

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

Teaching guidance

China University of Mining and Technology has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence70%Evidence1Sources1

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

2 reviewed evidence-backed public claim

Academic Integrity

China University of Mining and Technology Library's 2025 spring lecture program included an AI literacy session focused on AI tool norms and academic integrity, including AI ghostwriting, fabricated literature, plagiarism-detection signals, compliant use for literature review and idea organization, and boundaries for academic innovation.

Review: Agent reviewedConfidence84%

Normalized value: official_library_training_on_ai_tool_norms_and_academic_integrity

Original evidence

Evidence 1
聚焦 AI 工具规范与学术诚信 本讲座直击 AI 代写、文献伪造等灰色地带,拆解查重机制如何识别 AI 痕迹,演示合规使用工具辅助文献综述、思路整理的正确姿势,探讨学术创新的底线与 AI 工具边界,在效率与诚信间找到智慧平衡点!

Localized display only

The library lecture focuses on AI tool norms and academic integrity, including AI ghostwriting, fabricated references, AI-detection traces, compliant support for literature reviews and idea organization, and boundaries for academic innovation.

Teaching

An official China University of Mining and Technology news article says the 2024 undergraduate training plan explores an "intelligent +" professional training model, includes a required computing thinking and artificial intelligence foundation course, and supports digital teaching resources such as knowledge-graph-based AI courses and a smart education platform.

Review: Agent reviewedConfidence82%

Normalized value: official_news_describes_ai_related_undergraduate_curriculum_and_teaching_resources

Original evidence

Evidence 1
探索“智能+”专业培养模式改革,开设计算思维与人工智能基础必修课、人工智能与专业深度融合的前沿拓展课。进一步推进微专业建设,探索双学士学位和跨学科跨专业本研贯通式人才培养。

Localized display only

The article describes exploring an "intelligent +" professional training model, offering a required computing thinking and AI foundation course, and adding frontier courses that integrate AI with majors.

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

2 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.

Back to universities