From Fragmentation to Flow : Reforms Promoting Trusted Data Sharing for Responsible AI in the Philippines - A Policy Note

Overview & Synopsis

This policy note examines how fragmented data infrastructures, policies, and institutional arrangements constrain digital transformation, public service delivery, and responsible artificial intelligence (AI) adoption in the Philippines. The report highlights significant gaps in broadband connectivity, data governance, interoperability, data sharing frameworks, and institutional coordination, which limit the effective use of data for economic growth, social inclusion, disaster resilience, and government efficiency. Drawing on international experiences and a comprehensive assessment of the Philippine data ecosystem, the note proposes a reform agenda centered on trusted data sharing, harmonized digital public infrastructure, improved data governance, and stronger stewardship of national datasets. It recommends the development of interoperable registries, common identifiers, risk-based regulatory frameworks, and coordinated institutional mechanisms to support evidence-based policymaking and AI-ready data systems. The report concludes that unlocking the value of data through trusted, secure, and inclusive sharing practices is essential for accelerating digital transformation, enhancing public trust, fostering innovation, and enabling sustainable development in the Philippines.