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Thirty Strategic Actions

NAISR 2.0 comprises thirty tasks distributed across various government agencies, with each task assigned to specific agencies based on their mandates. While lead agencies are identified for each task, this framework encourages cross-agency collaboration, recognizing that successful implementation often requires shared responsibilities and coordinated efforts. This clear delineation of primary responsibilities, combined with collaborative flexibility, ensures focused execution and effective monitoring of progress.

Build a robust connected and networked environment

Section titled “Build a robust connected and networked environment”
No.Strategic TaskLeads
1Ensure equitable access to reliable, quality, and fast internet connectivityDICT

Improve data access and data value extraction

Section titled “Improve data access and data value extraction”
No.Strategic TaskLeads
2Make public data open, available, and digestible for analysisPSA, All Agencies
3Establish a robust, reliable, and secure network of data centers and expand access to the cloud for government, educational, and research institutionsDICT
4Encourage and promote data analysis (at least descriptive analytics) across all functions of industries and government agenciesDTI, DOST, DICT, and All Agencies
5Extensive training of analysts and data scientists to extract and communicate actionable insightsCHED, DTI, DOST, TESDA

Transform education and nurture future AI talents

Section titled “Transform education and nurture future AI talents”
No.Strategic TaskLeads
6Promote data literacy for allDepEd, CHED, DOST
7Ensure proper training of teachers in Data Science and Analytics (DSA)DepEd, CHED
8Include data science and analytics, including data visualization and storytelling, as general education subjects and courses in schools and universitiesDepEd, CHED
9Develop AI-centered undergraduate and graduate programs aligned with the PSFCHED
10Increase business analytics, data science, and AI graduatesDepEd, CHED
11Promote lifelong learning and design learning pathways for various individuals, including out-of-school, who want to learn the latest trends and technologies in AI, aligned with the PQF and PSFDepEd, CHED, TESDA
12Work with technology companies to provide sufficient computing resources and equipment to students and teachersDepEd, CHED, TESDA
No.Strategic TaskLeads
13Incentivize industries to offer data literacy and L&D programs, and send employees for graduate studies that focus on R&D to develop a scientific culture within organizationsDTI, DOLE, DICT
14Develop sector-specific curricula or stackable training programs with varying degrees of specialization which include BI and other AI tools, aligned with the PQF and PSFDepEd, CHED, TESDA
15Track and analyze the quality and quantity of job displaced, created, and transformed as a result of AI adoptionDOLE, DTI
No.Strategic TaskLeads
16Develop competency in AI research as measured by publications, patents, and technology disclosuresDOST
17Invite and recruit international experts who can bring in new capabilities, serve as AI mentors, and promote international collaborationsDTI, DOST, DICT, CHED
No.Strategic TaskLeads
18Identify and prioritize sector-specific R&D projects that can be commercialized and maximize the impact of AI research aligned with the country’s priority industriesDTI, DOST
19Ensure appropriate funding for AI innovationsNEDA, DOF, DBM, DTI, DOST, DICT
20Strengthen industry-academe partnerships in AI R&DDTI, DOST, CHED
21Incentivize HEIs to promote R&D internships in industriesDTI, DOST, DOLE, CHED
22Incubate, accelerate, and internationalize AI startupsDTI, DOST, DICT
23Improve government regulation in the areas of visa issuances, tax breaks, and stock issuances to foreign technologists and startupsDTI, DOST, DICT
24Encourage and incentivize investors and venture capitalists to support promising AI startupsDTI, DOST, DICT
25Host AI hackathons and events to foster collaboration with global AI experts and startupsDTI, DOST, DICT
26Build the Center for AI Research (CAIR)DTI
No.Strategic TaskLeads
27Ensure a level playing field for industries, including MSMEs, to freely compete in an AI-driven and data-driven environment to support their growth. This involves implementing policies that support fair competition and the growth of businesses at all scales.DTI, PCC, IPOPHL, NPC
28Review and transform business regulations for ease of business, especially in launching new AI platforms, products, and services. Simplify administrative procedures and set clear guidelines to encourage innovation while ensuring compliance with ethical standards.DTI, DICT, ARTA, NPC
29Strengthen and establish clear policies and guidelines on intellectual property governance for AI-generated innovations and IP protection mechanisms for AI-driven researchIPOPHL, DTI, DOST
30Form a committee of AI and data ethics experts to oversee AI usage, ensure compliance with the governance framework, and act as guardians of responsible AI deployment by providing oversight, guidance, and regulatory updates in response to technological advancementsNPC, DICT, DTI, DOST, DICT