University AI Policy Tracker
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Manila, Philippines

De La Salle University

RankingQS World University Rankings 2026: =654UpdatedMay 18, 2026

Reviewed policy snapshot

De La Salle University's generative-AI policy is course- and disclosure-focused and explicitly limited to generative AI rather than AI generally.

Do

  • Read the Generative AI Use Policy section in the course syllabus.
  • Provide the written generative-AI disclosure required by the policy.
  • Keep personal, confidential, and proprietary information out of generative-AI services.

Don't

  • Do not use generative AI where the course policy prohibits it.
  • Do not omit disclosure when generative AI was used.
  • Do not upload internal university documents or proprietary research.

Audience

For students · Coursework, exams, and disclosure

Reviewed material is available for this audience.

Coursework & assignments

Conditional

DLSU requires each course syllabus to state generative-AI use levels, while prohibited use or failure to disclose can be academic dishonesty.

Scope: Mixed scopeAssignment
Reviewed evidence & official sources

Reviewed evidence

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.
Agent reviewed
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.
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.
Agent reviewed
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.
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.

Exams & assessment

Not mentioned in reviewed sources

No exam-specific rule is included in the retained DLSU basis.

Scope: Mixed scope
Reviewed evidence & official sources

No reviewed evidence is included in this dimension.

Disclosure & citation

Required

DLSU says faculty and students must provide a written disclosure statement when generative AI is used in material, presentations, or submissions.

Scope: Mixed scopeAssignmentResearch
Reviewed evidence & official sources

Reviewed evidence

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.
Agent reviewed
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.

Privacy & sensitive data

Restricted

DLSU's policy says personal, highly sensitive, internal, proprietary, and confidential information should never be shared with generative-AI services.

Scope: Mixed scopeAssignmentResearch
Reviewed evidence & official sources

Reviewed evidence

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.
Agent reviewed
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.

University-provided AI tools

Not mentioned in reviewed sources

No approved or institutionally provided AI-tool list is included in this snapshot.

Scope: Mixed scopeProvision ≠ coursework permission
Reviewed evidence & official sources

No reviewed evidence is included in this dimension.

Research & publication

Insufficient public evidence

The cited policy says it applies to research, but the retained public basis does not provide research-specific permission or prohibition.

Scope: Mixed scopeResearch
Reviewed evidence & official sources

Reviewed evidence

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.
Agent reviewed
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.

Reviewed record

Reviewed claims

5 reviewed claims

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

Last checked
May 18, 2026
Last changed
May 18, 2026

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.

Source language
English (en)
Snapshot hash
31b25b9b…
Retrieved
May 18, 2026
Evidence locator
Section IV.b, Disclosure Requirements

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

Last checked
May 18, 2026
Last changed
May 18, 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.

Source language
English (en)
Snapshot hash
31b25b9b…
Retrieved
May 18, 2026
Evidence locator
Section IV.c, Declaration of Generative AI Use Policy in Course Syllabi

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

Last checked
May 18, 2026
Last changed
May 18, 2026

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 language
English (en)
Snapshot hash
31b25b9b…
Retrieved
May 18, 2026
Evidence locator
Section IV.e, Data Privacy and Intellectual Property

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

Last checked
May 18, 2026
Last changed
May 18, 2026

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.

Source language
English (en)
Snapshot hash
31b25b9b…
Retrieved
May 18, 2026
Evidence locator
Section II, Scope

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

Last checked
May 18, 2026
Last changed
May 18, 2026

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.

Source language
English (en)
Snapshot hash
31b25b9b…
Retrieved
May 18, 2026
Evidence locator
Section IV.d, Handling of Generative AI-Related 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.

Source language
English (en)
Snapshot hash
31b25b9b…
Retrieved
May 18, 2026
Evidence locator
Section IV.d, AI detector tools

Source record

Official sources

1 source

Record information, JSON & citation
Reviewagent reviewedConfidence95%Snapshot statusstrongSnapshot hash44403990…JSONPublic JSON

Citation: University AI Policy Tracker. "De La Salle University AI Policy Tracker record." Last checked May 18, 2026. https://eduaipolicy.org/universities/de-la-salle-university

Original university source language remains canonical. This tracker is not an official university statement.

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