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Seven Imperatives

Building on the four strategic dimensions, the strategy roadmap further breaks these dimensions down into seven strategic imperatives. This detailed breakdown is critical to ensure that each objective is truly manageable and actionable.

1. Build a robust connected and networked environment

Section titled “1. Build a robust connected and networked environment”

It is imperative that all localities should have fixed, reliable, and fast Internet connectivity.

2. Improve data access and data value extraction

Section titled “2. Improve data access and data value extraction”

Data accessibility be improved, and cross-sector data utilization be supported as it powers AI. In addition to opening up public datasets, the government also needs to explore how private datasets can be tapped and, at the very least, insights be democratized.

3. Transform education and nurture future AI talents

Section titled “3. Transform education and nurture future AI talents”

The Philippines needs to invest in AI-enabling resources and develop a deep appreciation for Science, Technology, Engineering, and Mathematics (STEM) and DSA. In particular, there is a need to include the DSA foundations (mathematics, statistics, and computing) in secondary education and general courses of data analytics, business analytics, and introductory AI in Higher Education Institutions (HEIs). The country must increase the number of research-oriented graduate students in business analytics, data science, and AI trained in quality AI and DS degree programs. It is also imperative to train competent and confident AI modules teachers with the help of local and international organizations. Finally, local academic institutions must be incentivized to have practitioners engage with graduate students to maximize impact of AI research to other fields.

There is a need to incentivize industries to offer Learning & Development (L&D) programs related to data extraction, data cleaning, data analysis, and machine learning, among others, that are aligned with the Philippine Skills Framework.

To be recognized as one of the AI hubs in ASEAN, the Philippines must fortify its understanding of AI technology and contribute to the global body of AI knowledge. Furthermore, there is a need to improve the immediate recruitment of international talent and enhancement of international collaboration to increase international visibility. Pushing the boundaries of knowledge in AI translates quantitatively to publications in peer-reviewed indexed journals and presentations in international conferences related to AI and computing.

There is a need to invest in AI R&D on strategic areas where the Philippines can perform well and compete globally. These strategic areas should attract big MNCs maximizing local AI talent. Furthermore, startups must be incentivized, in line with the Innovative Startup Act, to accelerate economic growth through creating more jobs, wealth, new markets, and effect innovations.

To foster ethical and responsible AI deployment, the Philippines must develop a robust and adaptive AI governance framework. This multifaceted effort involves collaboration across government agencies, including the National Privacy Commission, Intellectual Property Office, Philippine Competition Commission, and relevant departments, as well as academia and civil society. The framework necessitates a comprehensive review and update of existing laws, development of AI-specific legislation, and creation of sector-specific guidelines. Organizations are encouraged to integrate AI considerations into their compliance and complaints processes, while a certification system for AI auditors and products will be established. The initiative also focuses on boosting public engagement and AI literacy through education and awareness campaigns. International cooperation will be prioritized to align with global best practices. By implementing incentives for responsible AI development, supporting ethical AI research, and maintaining a flexible approach to governance, the Philippines aims to position itself as a leader in responsible AI innovation, balancing technological advancement with ethical considerations and societal well-being.