University of the Philippines

For a national university that is committed to developing Al in the country, the challenge remains: how to promote positive and responsible use of AI and mitigate its negative consequences. 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. It is also hoped that the adoption of these principles shall intensify the national discourse on the role of AI in national development. University of the Philippines Principles for Responsible and Trustworthy Artificial Intelligence 1. COMMON GOOD. AI should benefit the Filipino people in particular, and humanity, in general by fostering inclusive economic growth, effective governance, sustainable development, and enhanced well-being while protecting the environment. AI systems should further the rule of law, human rights, and democracy.

Collected: 2026-10-08 · 42–45
SHA-256: 15e12a554980019b054b978faf74a5d1de6c3f15c1647ca40c11c8a675f06eb0

These Principles for Responsible and Trustworthy Artificial Intelligence shall serve as guardrails for our community and stakeholders. Tensions are anticipated between these principles; hence, there is a need for policies, programs, and protocols that balance innovation and regulation. Towards this, a multidisciplinary UP AI Advancement Committee (AIAC) is established. The ultimate goal of the AIAC is to create an empowering environment where members of the UP community can continue to openly discuss the benefits and concerns associated with using AI and continue to come up with better policies and guidelines. This environment should also encourage the development and co-creation of AI tools among stakeholders. The AIAC shall also create a culture of cooperation, trust, and transparency among the university community, private sector, civil society, government, international organizations, and other stakeholders. Immediately, the AIAC shall draft, for approval of the UP President, issuances to operationalize the development, deployment, and use of responsible and trustworthy AI. These issuances include, but are not limited to, the development of the following: AI code of conduct based on the above-mentioned principles; AI development program to accelerate AI research and development in the University; Implementing framework for AI in UP education, including an Al literacy program, a faculty and staff upskilling program, and a research and teaching program on AI in society; and, AI and digital infrastructure development to support the use of Al in teaching, research, and use. This includes providing equitable access to AI by members of the UP community

Collected: 2026-10-08 · 62–71
SHA-256: 15e12a554980019b054b978faf74a5d1de6c3f15c1647ca40c11c8a675f06eb0

4. PRIVACY. AI systems must incorporate privacy-by-design principles. Informed consent from users and maintaining the confidentiality of personal information must be upheld, when users provide information and when the system collects information about the users. 5. 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. UP shall put into place mechanisms to hold the relevant stakeholders accountable for the AI systems actions and outcomes.

Collected: 2026-10-08 · 48–49
SHA-256: 15e12a554980019b054b978faf74a5d1de6c3f15c1647ca40c11c8a675f06eb0

In Research and Development 6. MEANINGFUL HUMAN CONTROL. Humans should have decision-making authority over the AI ‘s actions, decisions, and behaviors. AI systems should not operate in an unpredictable or unmanageable manner. 7. TRANSPARENCY. People should be able to understand how AI systems work. Individuals should be informed if AI-enabled tools are used. To the extent possible, the methods should be explainable. Finally, users should be able to understand AI-based outcomes and identify ways to seek remedies to harms that they may cause. 8. FAIRNESS. AI should be evaluated for gender bias, other forms of unfairness, and all forms of discrimination, especially in the data, models, and algorithms that are used. Collaborative procedures should be in place to actively identify, mitigate, and remedy these harms. AI developers should be mindful of its unintended consequences. 9. SAFETY. AI should never endanger lives. AI systems must function securely and safely. AI systems must be robust. In this context, robustness refers to the capacity of AI systems to endure and surmount adverse circumstances, including digital security threats. Compromising safety and security is unacceptable.

Collected: 2026-10-08 · 50–54
SHA-256: 15e12a554980019b054b978faf74a5d1de6c3f15c1647ca40c11c8a675f06eb0

In Education 11. 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. AI shall be used to improve the assessment of multiple dimensions of competencies and outcomes. 12. HUMAN CAPITAL DEVELOPMENT, UP shall strengthen existing programs and develop new ones to ensure that the country’s Al workforce is highly skilled and ethical. These programs shall target women and other groups that are often excluded. 13. CAPACITY BUILDING. All members of the UP community must be AI literate. Additionally, faculty members must be trained in effectively using and integrating AI into teaching and learning practices. These two initiatives are necessary if faculty and students are to jointly innovate and benefit from the new technology as it further evolves. 14. EDUCATION MANAGEMENT AND DELIVERY. AI should improve university decision-making; make for more efficient administration, including admissions, enrollment, registration, human resource management, procurement, and inventory; and enable prompt regulatory compliance. 15. COLLABORATION. UP shall work with other universities, colleges, and research institutions to share best practices, co-develop AI courses and programs, undertake joint research and development, and advocate for responsible and trustworthy AI.

Collected: 2026-10-08 · 56–61
SHA-256: 15e12a554980019b054b978faf74a5d1de6c3f15c1647ca40c11c8a675f06eb0

Immediately, the AIAC shall draft, for approval of the UP President, issuances to operationalize the development, deployment, and use of responsible and trustworthy AI. These issuances include, but are not limited to, the development of the following: AI code of conduct based on the above-mentioned principles; AI development program to accelerate AI research and development in the University; Implementing framework for AI in UP education, including an Al literacy program, a faculty and staff upskilling program, and a research and teaching program on AI in society; and, AI and digital infrastructure development to support the use of Al in teaching, research, and use. This includes providing equitable access to AI by members of the UP community

Collected: 2026-10-08 · 66–71
SHA-256: 15e12a554980019b054b978faf74a5d1de6c3f15c1647ca40c11c8a675f06eb0