Policy presence
University of the Philippines has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Quezon City, Philippines
University of the Philippines
University of the Philippines is listed as QS 2026 rank =362. University of the Philippines has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of the Philippines is listed as QS 2026 rank =362. University of the Philippines has 4 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of the Philippines as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-the-philippines.json. The entity-level confidence is 93%. 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 Other policy claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Privacy, sensitive-data, or security 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
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.
Coursework
University of the Philippines has 1 source-backed public claim for coursework; deterministic analysis status: required.
Exams
University of the Philippines has 1 source-backed public claim for exams; deterministic analysis status: required.
Privacy and data entry
University of the Philippines has 3 source-backed public claims for privacy and data entry; deterministic analysis status: required.
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.
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.
Named AI services
University of the Philippines has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
University of the Philippines has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
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.
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
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 reviewed
Normalized value: adopted_responsible_ai_principles
Original evidence
Evidence 1It 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 reviewed
Normalized value: privacy_by_design_and_accountability_principles
Original evidence
Evidence 1PRIVACY. 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 reviewed
Normalized value: learner_centered_ai_in_teaching
Original evidence
Evidence 1PRIMACY 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 reviewed
Normalized value: aiac_to_draft_ai_issuances_for_presidential_approval
Original evidence
Evidence 1Immediately, 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
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
3 source attribution
University of the Philippines Principles for Responsible and Trustworthy Artificial Intelligence
up.edu.ph
UP AI Policy
itdc.up.edu.ph
UP Principles for Responsible and Trustworthy Artificial Intelligence PDF
itdc.up.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.