Manila, Philippines

De La Salle University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources1Source languageenPublic JSON/api/public/v1/universities/de-la-salle-university.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence81%

Privacy and data entry

De La Salle University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Approved tools

De La Salle University has 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence81%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

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 reviewedConfidence95%

Normalized value: written disclosure required for generative AI use in materials and submissions

Original evidence

Evidence 1
For 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 reviewedConfidence95%

Normalized value: course syllabi must declare generative AI usage policies starting Term 1 2025-2026

Original evidence

Evidence 1
Starting 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 reviewedConfidence95%

Normalized value: do not share personal, sensitive, internal, proprietary, or confidential information with generative AI services

Original evidence

Evidence 1
Personal 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 reviewedConfidence94%

Normalized value: official generative AI policy for teaching, learning, and research

Original evidence

Evidence 1
This 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 reviewedConfidence94%

Normalized value: prohibited or undisclosed generative AI use is academic dishonesty; AI detector output alone is insufficient

Original evidence

Evidence 1
For 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 2
Faculty 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

Official sources

1 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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