Policy presence
University of Malta has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Msida, Malta
University of Malta has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Malta has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of Malta has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Malta has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Malta has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
University of Malta has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
University of Malta has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
University of Malta has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Malta has 2 source-backed public claims 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.
6 reviewed evidence-backed public claim
Academic Integrity
Normalized value: unacknowledged_ai_generated_work_considered_plagiarism
Original evidence
Evidence 1For the avoidance of doubt, the use of unacknowledged work generated by AI tools is also considered by the University as plagiarised work.
Ai Tool Treatment
Normalized value: students_check_tutor_before_genai_summative_answers
Original evidence
Evidence 1Before you start working on materials submitted for assessment, you are required to check with your tutor if Generative AI tools can be used to produce answers in summative assessments.
Teaching
Normalized value: lecturer_determines_genai_use_default_not_allowed_except_support_uses
Original evidence
Evidence 1it is up to the individual lecturers, in consultation with the Board of Examiners and/or the Board of Studies, as appropriate, to determine if and how the use of Generative AI tools should be permitted within a given study-unit. If no specific mention is made regarding the use of Generative AI tools in the study-unit assessment guidelines and instructions that are made available to students through the VLE, then it is assumed that the use of these tools is not allowed except for the modalities indicated in Guideline 6.
Localized display only
it is up to the individual lecturers, in consultation with the Board of Examiners and/or the Board of Studies, as appropriate, to determine if and how the use of Generative AI tools should be permitted within a given study-unit. If no specific mention is made regarding the use of Generative AI tools in the study-unit assessment guidelines and instructions that are made available to students through the VLE, then it is assumed that the use of these tools is not allowed except for the modalities indicated in Guideline 6.
Academic Integrity
Normalized value: ai_detection_discouraged_not_proof_for_discipline
Original evidence
Evidence 1the use of any AI writing detection tools within UM is discouraged given the unreliability of Generative AI detection software. Besides the detection accuracy concerns mentioned earlier, the students have not given their permission to upload their work to tools other than Turnitin or agreed on how their data will be stored.
Localized display only
The guideline continues that Generative AI detection software cannot be used as proof for disciplinary procedures.
Privacy
Normalized value: staff_avoid_sensitive_information_in_genai_prompts
Original evidence
Evidence 1All University staff should be especially careful not to include any sensitive information in their prompts to these tools due to issues related to privacy and data protection.
Academic Integrity
Normalized value: maks_students_include_genai_prompt_audit_trail
Original evidence
Evidence 1Copy every prompt or query you give to a generative AI model (in chronological order) in an appendix to your work. Generally, there is no need to include the actual output of the AI model, only the prompts or queries.
Localized display only
This evidence is faculty-scoped to the Faculty of Media & Knowledge Sciences and subject to assessment or study-unit descriptions.
0 machine or needs-review claim
3 source attribution
um.edu.mt
um.edu.mt
um.edu.mt