Beijing, China (Mainland)

University of Science and Technology Beijing

University of Science and Technology Beijing is listed as QS 2026 rank =480. University of Science and Technology Beijing has 1 source-backed AI policy claim record from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

University of Science and Technology Beijing is listed as QS 2026 rank =480. University of Science and Technology Beijing has 1 source-backed AI policy claim record from 3 official source attributions. 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 University of Science and Technology Beijing as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 1 source-backed claim, including 1 reviewed claim, 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/university-of-science-and-technology-beijing.json. The entity-level confidence is 82%. 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 coverage1 reviewedSource languagezh-CNPublic JSON/api/public/v1/universities/university-of-science-and-technology-beijing.json

Policy signals in this record

  • Evidence includes Research claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims1Reviewed1Candidate0Official 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 score30/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence70%

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

University of Science and Technology Beijing has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence70%Evidence1Sources1

Coursework

No source-backed public claim about coursework AI use is present in this profile.

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

No source-backed public claim about exam AI use is present in this profile.

The current public tracker record does not contain claim evidence about exams, tests, quizzes, or examination conditions.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

University of Science and Technology Beijing has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence70%Evidence1Sources1

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

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

University of Science and Technology Beijing has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence70%Evidence1Sources1

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

1 reviewed evidence-backed public claim

Research

For the 2026 Beijing Xi Jinping Thought Research Center project application process announced by USTB's research office, applicants are told to use generative AI in a standardized way, ensure truthfulness and accuracy when using it for research tracking or reference collection, declare and label such use, and not submit an application directly generated by generative AI.

Review: Agent reviewedConfidence82%

Normalized value: narrow_research_project_application_ai_disclosure_and_direct_generation_restriction

Original evidence

Evidence 1
申请人在填写申请书时须规范使用生成式人工智能技术。如使用生成式人工智能技术跟踪研究动态、收集整理参考文献,必须确保真实性、准确性并加以声明,按照国家有关规定加以标识。生成式人工智能直接生成的申请书不予受理,一经发现查实,将给予严肃处理。

Localized display only

For this project call, applicants must use generative AI in a standardized way, declare and label use for research tracking or references, and direct AI-generated applications are not accepted.

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 16, 2026Last changedMay 16, 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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