Quezon City, Philippines

University of the Philippines

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3Source languageen, en-USPublic JSON/api/public/v1/universities/university-of-the-philippines.json

Policy profile

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence78%

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coursework

University of the Philippines has 1 source-backed public claim for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Exams

University of the Philippines has 1 source-backed public claim for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

University of the Philippines has 1 source-backed public claim for named ai services; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Teaching guidance

University of the Philippines has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Research guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

4 reviewed evidence-backed public claim

Other

The University of the Philippines adopts Principles for Responsible and Trustworthy AI to provide guardrails for the development and use of AI in the University and the country.

Review: Agent reviewedConfidence93%

Normalized value: adopted_responsible_ai_principles

Original evidence

Evidence 1
It is therefore adopting the following Principles for Responsible and Trustworthy AI in order to provide guardrails and indicate the way forward on the development and use of AI in the University and the country.

Privacy

UP's responsible AI principles state that AI systems must incorporate privacy-by-design principles and that UP stakeholders involved in AI development, deployment, and use must take responsibility for the consequences of their actions.

Review: Agent reviewedConfidence91%

Normalized value: privacy_by_design_and_accountability_principles

Original evidence

Evidence 1
PRIVACY. AI systems must incorporate privacy-by-design principles. Informed consent from users and maintaining the confidentiality of personal information must be upheld. ACCOUNTABILITY. Individuals, groups, departments, institutes, colleges, and constituent universities involved in the development, deployment, and use of AI must take responsibility for the consequences of their actions.

Teaching

For education, UP's AI principles state that decisions on AI use in teaching should start with learner needs and that UP shall adopt AI systems that promote learner-centered pedagogy.

Review: Agent reviewedConfidence91%

Normalized value: learner_centered_ai_in_teaching

Original evidence

Evidence 1
PRIMACY OF LEARNING GOALS. Decisions on the use of AI in teaching should start with the educational needs and priorities of learners, UP shall adopt AI systems that promote learner-centered pedagogy and foster collaborative and social learning.

Other

The UP principles call for the AI Advancement Committee to draft issuances for presidential approval, including an AI code of conduct, an AI development program, an implementing framework for AI in UP education, and AI and digital infrastructure development.

Review: Agent reviewedConfidence90%

Normalized value: aiac_to_draft_ai_issuances_for_presidential_approval

Original evidence

Evidence 1
Immediately, the AIAC shall draft, for approval of the UP President, issuances to operationalize the development, deployment, and use of responsible and trustworthy AI.

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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