Suzhou, China (Mainland)

Xi'an Jiaotong Liverpool University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources3Source languageen, en-USPublic JSON/api/public/v1/universities/xi-an-jiaotong-liverpool-university.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence71%

AI disclosure

Xi'an Jiaotong Liverpool University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence71%Evidence1Sources1

Approved tools

Xi'an Jiaotong Liverpool University has 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence71%Evidence1Sources1

Named AI services

Xi'an Jiaotong Liverpool University has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.

UnclearMachine candidateConfidence73%Evidence1Sources1

Teaching guidance

Xi'an Jiaotong Liverpool University 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

Evidence-backed claims

5 reviewed evidence-backed public claim

Source Status

XJTLU's 2025-2028 Education + AI Strategic Framework sets an objective to develop and implement a robust AI policy framework for ethical AI development, deployment, and use; the source is a strategic framework rather than a standalone binding student AI policy.

Review: Agent reviewedConfidence88%

Normalized value: strategic_framework_planned_ai_policy_framework

Evidence originale

Evidence 1
To develop and implement a robust AI policy framework that governs the ethical development, deployment, and use of AI technologies.

Academic Integrity

XJTLU's strategic framework says the university will continuously review and update policy and procedures as necessary for appropriate and inappropriate AI use by students.

Review: Agent reviewedConfidence86%

Normalized value: student_ai_use_policy_procedures_review

Evidence originale

Evidence 1
To continuously review and update as necessary University policy and procedures with respect to the appropriate and inappropriate use of AI by students.

Privacy

For the XIPU AI platform, XJTLU's strategic framework sets an objective to establish ethical-use guidelines focusing on data privacy, bias mitigation, and transparency.

Review: Agent reviewedConfidence86%

Normalized value: xipu_ai_guidelines_data_privacy_bias_transparency

Evidence originale

Evidence 1
Ethical AI Use: To establish guidelines for the ethical use of AI models, focusing on issues like data privacy, bias mitigation, and transparency, to ensure responsible AI practices.

Academic Integrity

XJTLU Library's GenAI citation guide advises that information provided by generative AI should always be checked and verified because it can be false, biased, out of date, or hallucinated.

Review: Agent reviewedConfidence83%

Normalized value: library_guidance_verify_genai_output

Evidence originale

Evidence 1
information provided by Generative AI should always be checked and verified, because GenAI can sometimes generate false information that may be false, biased, or out of date and does not accurately reflect reality, known as "AI hallucination".

Teaching

XJTLU's official teaching resource on AI chatbots identifies reliability and accuracy problems, data privacy, potential bias, and academic integrity risk as challenges that need to be addressed.

Review: Agent reviewedConfidence82%

Normalized value: teaching_resource_chatbot_risks_privacy_bias_integrity

Evidence originale

Evidence 1
AI chatbots may not be very reliable or accurate, which could lead to misinformation or misleading students. Issues such as data privacy, potential biases in AI algorithms, and the risk of compromising academic integrity are also significant challenges that need to be addressed.

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 31, 2026Last changedMay 31, 2026Open change log

Corrections

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