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 has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
University of the Philippines has 1 source-backed public claim for coursework; deterministic analysis status: required.
University of the Philippines has 1 source-backed public claim for exams; deterministic analysis status: required.
University of the Philippines has 3 source-backed public claims for privacy and data entry; deterministic analysis status: required.
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.
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.
University of the Philippines has 1 source-backed public claim for named ai services; deterministic analysis status: required.
University of the Philippines has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
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.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Other
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
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
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
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.
0 machine or needs-review claim
3 source attribution
up.edu.ph
itdc.up.edu.ph
itdc.up.edu.ph