To continuously review and update as necessary University policy and procedures with respect to the appropriate and inappropriate use of AI by students.
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.
xjtlu-claim-student-ai-use-policy-review
Strategic Pillar Two - AI: Education and Experience, Objective 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always be checked and verified, because GenAI can sometimes generate false information that may be false, biased, or out of date and does not accurately reflect reality, known as "AI hallucination".
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that information provided by generative AI should always be checked and verified because it can be false, biased, out of date, or hallucinated.
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.
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.
To continuously review and update as necessary University policy and procedures with respect to the appropriate and inappropriate use of AI by students.
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.
xjtlu-claim-student-ai-use-policy-review
Strategic Pillar Two - AI: Education and Experience, Objective 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always be checked and verified, because GenAI can sometimes generate false information that may be false, biased, or out of date and does not accurately reflect reality, known as "AI hallucination".
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that information provided by generative AI should always be checked and verified because it can be false, biased, out of date, or hallucinated.
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.
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.
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".
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.
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.
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.
xjtlu-claim-xipu-ai-ethical-use-guidelines
Strategic Pillar Six - AI Infrastructure and Support, Objective 2
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.
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.
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".
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.
To continuously review and update as necessary University policy and procedures with respect to the appropriate and inappropriate use of AI by students.
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.
xjtlu-claim-student-ai-use-policy-review
Strategic Pillar Two - AI: Education and Experience, Objective 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".
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.
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.
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.
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.
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.
No source-backed public claim about AI security review or procurement is present in this profile.
Security and procurementXi'an Jiaotong Liverpool University
Not mentioned in reviewed sources
Status & scope
Scope stated in the cited claims
Original official evidence
No reviewed evidence is included for this topic. This does not establish that no rule exists.
Record updatesLast 90 days
Updates to this site's reviewed record, not confirmation that the university changed its policy.
Update records are not available for this page yet.
Reviewed record
Reviewed claims
5 reviewed claims
Academic Integrity 2 reviewed claims
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.
To continuously review and update as necessary University policy and procedures with respect to the appropriate and inappropriate use of AI by students.
Source language
English (en)
Snapshot hash
064b1f8e…
Retrieved
May 31, 2026
Evidence locator
Strategic Pillar Two - AI: Education and Experience, Objective 1
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.
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".
Source language
English (en)
Snapshot hash
5e42fa5b…
Retrieved
May 31, 2026
Evidence locator
Check before Citing
Teaching 1 reviewed claim
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.
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 language
English (en-US)
Snapshot hash
8478ea55…
Retrieved
May 31, 2026
Evidence locator
AI Chatbots in Education
Privacy 1 reviewed claim
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.
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.
Source language
English (en)
Snapshot hash
064b1f8e…
Retrieved
May 31, 2026
Evidence locator
Strategic Pillar Six - AI Infrastructure and Support, Objective 2
Source Status 1 reviewed 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.
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.
Saved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.
Questions students ask
Questions students ask
Can I use AI for my coursework?
Xi'an Jiaotong Liverpool University has 3 source-backed public claims for coursework; deterministic analysis status: required.
