Policy presence
Xi'an Jiaotong Liverpool University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Suzhou, China (Mainland)
Xi'an Jiaotong Liverpool University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Xi'an Jiaotong Liverpool University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Xi'an Jiaotong Liverpool University has 3 source-backed public claims for coursework; deterministic analysis status: required.
Xi'an Jiaotong Liverpool University has 3 source-backed public claims for exams; deterministic analysis status: required.
Xi'an Jiaotong Liverpool University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: required.
Xi'an Jiaotong Liverpool University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Xi'an Jiaotong Liverpool University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Xi'an Jiaotong Liverpool University has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Xi'an Jiaotong Liverpool University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
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.
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.
5 reviewed evidence-backed public claim
Source Status
Normalized value: strategic_framework_planned_ai_policy_framework
Bukti asal
Evidence 1To develop and implement a robust AI policy framework that governs the ethical development, deployment, and use of AI technologies.
Academic Integrity
Normalized value: student_ai_use_policy_procedures_review
Bukti asal
Evidence 1To continuously review and update as necessary University policy and procedures with respect to the appropriate and inappropriate use of AI by students.
Privacy
Normalized value: xipu_ai_guidelines_data_privacy_bias_transparency
Bukti asal
Evidence 1Ethical 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
Normalized value: library_guidance_verify_genai_output
Bukti asal
Evidence 1information 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
Normalized value: teaching_resource_chatbot_risks_privacy_bias_integrity
Bukti asal
Evidence 1AI 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.
0 machine or needs-review claim
3 source attribution
libguides.lib.xjtlu.edu.cn
xjtlu.edu.cn
xjtlu.edu.cn