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
De La Salle University has 5 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.
De La Salle University AI policy short answer
v1 public contract
De La Salle University has 5 source-backed AI policy claims from 1 official source attribution, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: De La Salle University is listed as QS 2026 rank =654.
Citation-ready summary
As of this public record, University AI Policy Tracker lists De La Salle University as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/de-la-salle-university.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
De La Salle University has 5 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
De La Salle University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
De La Salle University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
De La Salle University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
De La Salle University has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
Approved tools
De La Salle University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
De La Salle University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
De La Salle University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
De La Salle University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
5 reviewed evidence-backed public claim
Ai Tool Treatment
DLSU's generative AI policy says faculty and students must provide a written disclosure statement when generative AI is used in producing material, presentations, or submissions.
Review: Agent reviewed
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
Starting Term 1, 2025-2026, DLSU's policy says every course must include a dedicated Generative AI Use Policy section in the syllabus, including usage policy levels for grading components and a concise rationale.
Review: Agent reviewed
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
DLSU's policy says personal and highly sensitive information, internal university documents, proprietary research, and confidential information should never be shared with generative AI services.
Review: Agent reviewed
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
De La Salle University has an official policy document for generative AI use in teaching, learning, and research, and the policy states that it applies only to generative AI rather than AI in general.
Review: Agent reviewed
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
DLSU's policy treats prohibited generative AI use and failure to disclose generative AI use as generative AI-related academic dishonesty, while also stating that AI detector results cannot be the sole basis for establishing such dishonesty.
Review: Agent reviewed
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.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
1 source attribution
Policies on Generative Artificial Intelligence in Higher Education
old.dlsu.edu.ph
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.