Policy presence
De La Salle University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Manila, Philippines
De La Salle University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
De La Salle University has 5 source-backed public claims for ai disclosure; deterministic analysis status: required.
De La Salle University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
De La Salle University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
De La Salle University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
De La Salle University has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
De La Salle University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
De La Salle University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
De La Salle University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
De La Salle University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
5 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: written disclosure required for generative AI use in materials and submissions
Original evidence
Evidence 1For both faculty and students, the use of generative AI in the production of any material, presentation, or submission, must be accompanied by a written disclosure statement.
Localized display only
DLSU requires written disclosure when faculty or students use generative AI in producing materials, presentations, or submissions.
Teaching
Normalized value: course syllabi must declare generative AI usage policies starting Term 1 2025-2026
Original evidence
Evidence 1Starting Term 1, 2025-2026, every course must include an explicit declaration of AI usage policies in a dedicated section of the syllabus with the heading Generative AI Use Policy.
Localized display only
Beginning Term 1, 2025-2026, every course syllabus must include a dedicated Generative AI Use Policy section.
Privacy
Normalized value: do not share personal, sensitive, internal, proprietary, or confidential information with generative AI services
Original evidence
Evidence 1Personal and highly sensitive information should never be shared with generative AI services. Internal University documents, proprietary research, and confidential information should never be shared with generative AI services.
Localized display only
The policy says personal, highly sensitive, internal, proprietary, and confidential information should never be shared with generative AI services.
Source Status
Normalized value: official generative AI policy for teaching, learning, and research
Original evidence
Evidence 1This policy applies to the use of generative AI in De La Salle University for teaching, learning, and research. It applies only to generative AI, not AI in general.
Localized display only
The policy is scoped to generative AI use at DLSU for teaching, learning, and research.
Academic Integrity
Normalized value: prohibited or undisclosed generative AI use is academic dishonesty; AI detector output alone is insufficient
Original evidence
Evidence 1For students, the following shall be considered as generative AI-related academic dishonesty: Using generative AI in producing a submission in a way that is prohibited by the usage policy defined for that assessment, even if it was disclosed; Failing to properly disclose the use of generative AI in a submission.
Localized display only
The policy classifies prohibited generative AI use and failure to disclose generative AI use as academic dishonesty.
Original evidence
Evidence 2Faculty can use AI detector tools (Turnitin, GPTZero, etc.) for flagging suspicious submissions. However, results of such tools cannot be used as the sole basis for establishing generative AI-related academic dishonesty, as these tools can produce both false positives and false negatives.
Localized display only
AI detector results may flag submissions but cannot be the sole basis for establishing generative AI-related academic dishonesty.
0 machine or needs-review claim
1 source attribution
old.dlsu.edu.ph