Suzhou, China (Mainland)

Xi'an Jiaotong Liverpool University

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Reviewed record

Afirmaciones revisadas

5 reviewed claims

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.

Revisión: Revisado por un agenteConfianza88%

Valor normalizado: strategic_framework_planned_ai_policy_framework

Evidencia original

Evidencia 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.

Revisión: Revisado por un agenteConfianza86%

Valor normalizado: student_ai_use_policy_procedures_review

Evidencia original

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

Privacidad

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.

Revisión: Revisado por un agenteConfianza86%

Valor normalizado: xipu_ai_guidelines_data_privacy_bias_transparency

Evidencia original

Evidencia 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that information provided by generative AI should always be checked and verified because it can be false, biased, out of date, or hallucinated.

Revisión: Revisado por un agenteConfianza83%

Valor normalizado: library_guidance_verify_genai_output

Evidencia original

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always be checked and verified, because GenAI can sometimes generate false information that may be false, biased, or out of date and does not accurately reflect reality, known as "AI hallucination".

Enseñanza

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.

Revisión: Revisado por un agenteConfianza82%

Valor normalizado: teaching_resource_chatbot_risks_privacy_bias_integrity

Evidencia original

Evidencia 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.

Source record

Fuentes oficiales

3 sources

Record information, JSON & citation
Revisiónagent reviewedConfianza88%Snapshot statusNo publicadoJSONJSON público

Citation: University AI Policy Tracker. "Xi'an Jiaotong Liverpool University AI Policy Tracker record." Last checked May 31, 2026. https://eduaipolicy.org/universities/xi-an-jiaotong-liverpool-university

Original university source language remains canonical. This tracker is not an official university statement.

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