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University of the Philippines

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Beoordeling: Door agent beoordeeldLaatst gecontroleerd16 mei 2026Laatst gewijzigd16 mei 2026Claims4Bronnen3Releaseregistraties0

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University of the Philippines currently has 4 source-backed claim records and 3 official source attributions. Latest tracked changed date: 16 mei 2026. No tracker diff rows are recorded in the latest public release.

Deze pagina combineert alle openbare releasediffs voor University of the Philippines. Individuele releasesnapshots blijven beschikbaar via hun release-specifieke URL's.

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11 # University of the Philippines AI policy record
2+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.
3+Evidence (en-US, 91de0091549d): 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.
4+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.
5+Evidence (en-US, 91de0091549d): 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.
6+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.
7+Evidence (en-US, 91de0091549d): 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.
8+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.
9+Evidence (en, 14839c00a4c4): Immediately, the AIAC shall draft, for approval of the UP President, issuances to operationalize the development, deployment, and use of responsible and trustworthy AI.

Geschiedenis releases

0 public release diffs

Aanpassingen claimen

4 Claimen registers

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.

Beoordeling: Door agent beoordeeldVertrouwen90%Bewijs1Talenen

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.

Beoordeling: Door agent beoordeeldVertrouwen91%Bewijs1Talenen-US

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.

Beoordeling: Door agent beoordeeldVertrouwen91%Bewijs1Talenen-US

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.

Beoordeling: Door agent beoordeeldVertrouwen93%Bewijs1Talenen-US

Bronsnapshots

3 source attributions