Beijing, China (Mainland)

Beijing University of Technology

Beijing University of Technology has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 20, 2026.

Beijing University of Technology AI policy short answer

v1 public contract

Beijing University of Technology 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 20, 2026. Discovery context: Beijing University of Technology is listed as QS 2026 rank 791-800.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Beijing University of Technology as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 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/beijing-university-of-technology.json. The entity-level confidence is 95%. 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/beijing-university-of-technology.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 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 score45/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence80%

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

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

3 reviewed evidence-backed public claim

Ai Tool Treatment

For Beijing University of Technology's 2025 undergraduate graduation design/thesis work, directly using AI-generated content in thesis writing was prohibited and, if verified, treated as thesis ghostwriting and academic misconduct.

Review: Agent reviewedConfidence95%

Normalized value: direct_ai_generated_thesis_writing_prohibited_for_2025_undergraduate_theses

Original evidence

Evidence 1
严禁直接将AI生成内容用于毕业设计(论文)撰写,一经发现并查实,则认定为毕业设计(论文)代写,属于学术不端行为,将按照学校相关规定处理。

Localized display only

Direct use of AI-generated content in graduation design/thesis writing is strictly prohibited; once discovered and verified, it is treated as graduation design/thesis ghostwriting and academic misconduct under school rules.

Academic Integrity

For Beijing University of Technology's 2025 undergraduate graduation design/thesis work, all undergraduate graduation projects/theses were required to undergo academic misconduct checks that included AIGC detection.

Review: Agent reviewedConfidence94%

Normalized value: 2025_undergraduate_thesis_aigc_detection_required

Original evidence

Evidence 1
所有2025届本科毕业设计(论文)均需参加学术不端行为检测,检测包括知网资源库比对、校内当年及往年论文比对、AI生成内容(AIGC)检测。

Localized display only

All 2025 undergraduate graduation designs/theses must undergo academic misconduct checks, including CNKI/resource comparison, current and prior internal thesis comparison, and AI-generated content (AIGC) detection.

Academic Integrity

Beijing University of Technology's 2025 undergraduate thesis detection notice said all 2025 undergraduate theses had to undergo plagiarism checking, content review, AIGC detection, and formatting-standard checks.

Review: Agent reviewedConfidence93%

Normalized value: 2025_undergraduate_thesis_detection_scope_includes_aigc

Original evidence

Evidence 1
2025届全部本科毕业论文均须进行查重、内容审读、AIGC和论文格式规范性检测,涉密、涉权等论文需进行相应处理并参与检测。

Localized display only

All 2025 undergraduate theses must undergo plagiarism checking, content review, AIGC detection, and thesis formatting-standard checks; confidential or rights-involved theses require corresponding handling and must participate in testing.

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 20, 2026Last changedMay 20, 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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