Philippines - National AI Strategy (NAISR 1.0)
National AI Strategy Roadmap (NAISR 1.0)
Philippines
RAI-PH-NA-NASRNXX-2021The National AI Strategy Roadmap (NAISR 1.0) was launched by the Department of Trade and Industry in May 2021 as a whole-of-nation strategic guide to accelerate AI adoption across industry, government and research. It sets national priorities including infrastructure, workforce development, research & development, data governance and establishment of a national AI research center to position the Philippines as a regional AI hub.
Summary
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Overview
The National AI Strategy Roadmap (NAISR 1.0) was publicly introduced in May 2021 by the Department of Trade and Industry as the Philippines’ first comprehensive national roadmap to guide AI adoption and to harness AI for economic transformation and public-service improvement. The roadmap sets out strategic objectives across infrastructure, workforce development, research & development, governance and targeted sector deployment. NAISR 1.0 is explicitly designed as a coordinative and catalytic policy instrument: it outlines priorities, recommended institutional roles, funding and partnership modalities rather than prescriptive regulations. NAISR 1.0 is referenced in later government actions, including the DTI launch of NAISR 2.0 and the government’s establishment of a Center for AI Research; official communications about these are available from the DTI NAISR 2.0 launch and the DTI archive of the 2021 AI roadmap launch keynote launch material.
Definitions
NAISR 1.0 uses operational definitions common in national AI strategies: "AI" is used to mean systems that perform tasks commonly associated with human cognition using data-driven models; "deployment" refers to operational adoption of AI in products, services, or public administration; "N-CAIR" or National Center for AI Research refers to the proposed national research hub; "MSMEs" denotes micro, small and medium enterprises; and "data governance" covers technical, legal and institutional arrangements for data sharing and stewardship, subject to the Data Privacy Act (RA 10173). The roadmap distinguishes between strategic guidance (policy priorities and capacity-building) and legally binding instruments (statutes, regulations) to be developed by relevant agencies.
Governance and Institutional Framework
NAISR 1.0 recommends a whole-of-government approach with clear coordination roles. The DTI is identified as a lead economic and industry driver for adoption and private-sector engagement; the Department of Science and Technology (DOST) is tasked with R&D leadership; the Department of Information and Communications Technology (DICT) is indicated for digital infrastructure and enabling services; and the National Economic and Development Authority (NEDA) is referenced for alignment with the national development plan. The roadmap proposes establishing or supporting a centralized research hub (N-CAIR) to convene academia, industry and government research projects, and to provide technical guidance on standards and testing. These governance proposals were referenced and amplified in subsequent official releases, including DTI’s NAISR 2.0 launch and the government’s Center for AI Research announcements; see DTI’s coverage of the NAISR 2.0 and CAIR launch here and DOST’s later AI strategy planning materials here.
Key Focus Areas
NAISR 1.0 organizes national action into several focus areas: (1) Infrastructure — investments in connectivity, cloud and high-performance computing to support AI workloads and public services; (2) Workforce & Skills — curricula updates, upskilling/reskilling programs and talent retention to build a domestic AI workforce; (3) Research, Innovation & N-CAIR — strengthening R&D capacity, public-private research projects and centers of excellence to move beyond adoption to domestic innovation; (4) Data Governance & Platforms — promoting interoperable data architectures and secure sharing mechanisms consistent with the Data Privacy Act and NPC guidance; (5) Regulatory & Ethical Foundations — initiating workstreams for ethics, safety, and risk management to prepare for future regulations and sectoral standards; and (6) Sector Deployment — prioritized use cases across agriculture, manufacturing, health, finance, education and public administration to deliver socio-economic benefits. The roadmap places an emphasis on MSME inclusion and regional diffusion so that AI benefits are not concentrated only in major urban centers.
Implementation Framework
Implementation proposed under NAISR 1.0 is phased and multi-stakeholder. The roadmap calls for a combination of public funding, international development partner support, private-sector co-investment and academic partnerships to finance infrastructure and R&D. It recommends pilot programs to demonstrate proof-of-value, creation of testbeds and sandboxes for safe experimentation, and incentive schemes (grants, tax incentives) for targeted R&D. Institutional responsibilities are apportioned to departments based on mandate: DTI for industry uptake and MSME programs, DOST for research infrastructure, DICT for connectivity and digital services, and NPC for data protection compliance. The roadmap envisages monitoring through periodic reporting and recommends building a central dashboard for adoption metrics, R&D outputs and workforce indicators.
Monitoring and Evaluation
NAISR 1.0 sets out a monitoring architecture comprising outcome indicators (AI contribution to GDP, productivity gains, R&D outputs, AI-related jobs created), output indicators (number of pilots, research projects, trained personnel), and cross-cutting metrics (digital inclusion, geographic diffusion of AI services). The roadmap advocates annual progress reports, independent evaluation of major pilots, and the use of national statistics (e.g., PSA data) aligned with the Philippine Development Plan. It anticipates iterative updates to the roadmap as technological change and regulatory needs evolve.
Penalties, Liability, and Appeals
As a strategic roadmap, NAISR 1.0 is not itself a penal instrument and does not create new administrative or criminal sanctions. Instead, it points implementers to existing legal frameworks — notably the Data Privacy Act (RA 10173) and sector-specific laws — for enforcement of data protection, consumer protection and cybersecurity obligations. Where AI systems affect regulated sectors (banking, health), existing sector regulators retain authority over compliance, licensing and penalties. The roadmap therefore relies on regulatory agencies to develop liability and redress mechanisms within their statutory mandates and to coordinate appeals and dispute resolution within normal administrative procedures.
Relationship to Other Instruments
NAISR 1.0 is designed to align with the Philippine Development Plan and other national strategies (digitalization and industry strategies). It complements existing laws (e.g., data protection, consumer protection, cybersecurity) rather than superseding them. The roadmap served as a foundational document informing subsequent updates (for example, the officially announced NAISR 2.0) and the establishment of a government Center for AI Research; official DTI materials note that NAISR 2.0 "builds on the foundation laid by the first AI roadmap in 2021" and provide details of the updated priorities and CAIR establishment here.
International Alignment
NAISR 1.0 situates the Philippines within regional and international AI policy discussions and seeks alignment with international norms for ethical AI, data governance and research collaboration. The roadmap encourages bilateral and multilateral partnerships for capacity building and R&D, and anticipates harmonization with ASEAN and OECD approaches to responsible AI. It recognizes international standards for cybersecurity, model testing and data protection as reference points for domestic guidance.
Implementation Timeline
| Phase | Key Actions | Indicative Timing |
|---|---|---|
| Phase 1 | Launch, stakeholder consultations, initial pilots, establishment planning for N-CAIR | 2021–2022 |
| Phase 2 | Scale pilots, invest in infrastructure, workforce programs, begin regulatory workstreams | 2022–2024 |
| Phase 3 | Operationalize research center, national platforms, integrate learnings, update roadmap | 2024–2028 |
Compliance Checklist
| Action | Responsible | Status (Implementer to fill) |
|---|---|---|
| Align projects with Data Privacy Act and notify NPC for automated decision systems as required | Project Leads / NPC | — |
| Participate in N-CAIR research programs or government pilot sandboxes | Academia / Industry / DOST / DTI | — |
| Conduct privacy impact assessments for AI projects processing personal data | Personal Information Controllers / NPC | — |
| Report AI adoption metrics to central dashboard | Implementing Agencies | — |
Sources and References
| Source | Type |
|---|---|
| Keynote / Launch materials: National Artificial Intelligence Roadmap Launch (DTI, 2021) | Primary Source |
| DTI: NAISR 2.0 launch and CAIR (DTI, 2024) | Primary Source |
| FOI response: Artificial Intelligence Strategic Roadmap for the Philippines (FOI, 2021) | Primary Source |
The Philippines' National AI Strategy Roadmap (NAISR 1.0) is a national policy guide launched in May 2021 to accelerate artificial intelligence (AI) adoption across all sectors – industry, government, and research – within the country. It applies broadly to anyone developing, deploying, or researching AI in the Philippines, including businesses (especially micro, small, and medium enterprises or MSMEs), academic institutions, and government agencies.
While NAISR 1.0 is a strategic guide rather than a prescriptive law, it sets national priorities that will shape future AI policy and actions. Key areas it emphasizes include: - Investing in digital infrastructure and high-performance computing to support AI workloads. - Developing a skilled AI workforce through updated curricula and training programs. - Strengthening research and innovation, including establishing a National Center for AI Research (N-CAIR). - Promoting robust data governance and secure data sharing, always consistent with the existing Data Privacy Act. - Initiating work on ethical AI, safety, and risk management to prepare for future regulations.
This roadmap officially took effect on May 5, 2021. Crucially, NAISR 1.0 itself does not impose new penalties or create legal liabilities. Instead, it directs implementers to existing laws, such as the Data Privacy Act (Republic Act 10173), and sector-specific regulations for enforcement. If an AI system operates in a regulated industry like banking or health, existing regulators will apply their established rules and penalties.
A practical takeaway for businesses is that while this document isn't a direct regulation with immediate penalties, it strongly signals the government's direction for AI policy and future legislation. Companies should align their AI initiatives with its principles, particularly regarding data privacy and ethical considerations, to anticipate future regulatory developments and ensure compliance with existing laws it references. This roadmap lays the groundwork for how AI will be governed and integrated into the Philippine economy.
Plain-English rewrite by Regulations.ai — not legal advice. Verify against the official text.
What you must do — compliance checklist
0 / 5 marked completePlain-English obligations under Philippines - National AI Strategy (NAISR 1.0). Not legal advice — verify against the official text before relying on it.
- #1Critical⏰ Before placing on market
Applies to: Entities deploying AI systems that process personal data.
“Align projects with Data Privacy Act and notify NPC for automated decision systems as required”
- #2Critical⏰ Before deployment of AI projects processing personal data
Applies to: Personal Information Controllers deploying AI systems.
“Conduct privacy impact assessments for AI projects processing personal data”
- #3ImportantGovernance and Institutional Framework
Applies to: Department of Trade and Industry (DTI).
“The DTI is identified as a lead economic and industry driver for adoption and private-sector engagement”
- #4Important
Applies to: Implementing government agencies.
“Report AI adoption metrics to central dashboard”
- #5Recommended
Applies to: Academia and industry stakeholders.
“Participate in N-CAIR research programs or government pilot sandboxes”
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