Taiwan's Ministry of Digital Affairs Adds Two Major Competencies to AI Talent Guidelines, Promotes Publicly Available Teaching Materials
In response to the rapid development of AI, Taiwan's Administration for Digital Industries (ADI) today released version 3.0 of its AI Industry Talent Competency Guidelines. The update adds two major competencies—AI governance literacy and AI collaboration/development—and introduces new recommended learning resources. The ADI will collaborate with private organizations and academic institutions to develop standardized teaching materials, providing the public with opportunities to learn and apply AI.
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- 📰 Published: May 19, 2026 at 13:15
- 🔍 Collected: May 19, 2026 at 13:31 (16 min after Published)
- 🤖 AI Analyzed: May 19, 2026 at 13:41 (9 min after Collected)
(CNA, Taipei, May 19) As artificial intelligence (AI) technology rapidly develops, the Administration for Digital Industries (ADI) of the Ministry of Digital Affairs (MODA) today released version 3.0 of its AI Industry Talent Competency Guidelines. It adds two major new competencies: AI governance literacy, and AI collaboration and development. It also simultaneously adds new recommended learning resources, joining hands with private groups and schools to develop publicly available teaching materials for public learning and application. The ADI held a press conference for the AI Industry Talent Competency Guidelines 3.0 this morning, attended by MODA Minister Lin Yi-ching, ADI Director-General Lin Chun-hsiu, Artificial Intelligence Foundation (AIF) CEO Wen I-ling, Taiwan AI Academy (AIA) Chief of Industry-Academia Collaboration Kuo Ping-chen, Hahow founder and CEO Chiang Chien-wei, and Meta Taiwan & Hong Kong General Manager Pan Hsien-kuo. In his speech, Minister Lin stated that AI talent is a core national competitiveness. Amidst intensifying global competition for AI talent, MODA has established a basic framework for AI talent types and competencies. Through the "AI Industry Talent Competency Guidelines," a common benchmark is created so that companies can define their AI talent needs more precisely, training institutions can offer courses that better align with trends, certification bodies can promote AI competency certification exams, and the public can leverage related learning and certification resources to enhance their AI capabilities. Lin pointed out that technological innovation and development must come from the private sector. He hopes that AI talent education can be transformed into an industrial chain, rather than just a government-led project, and noted that Guidelines 3.0 symbolize the integration of Taiwan's AI talent policy with the "industrial ecosystem" from a more diverse perspective. The ADI explained that this guideline has two important updates. First, in response to the Artificial Intelligence Basic Act, it adds the AI governance literacy competency to help talent build a framework and awareness of AI application risks. Second, in line with the development trends of Vibe Coding and Agentic AI, it adds the AI collaboration and development competency to strengthen talent's practical ability to collaborate with and develop AI tools. The ADI stated that Guidelines 3.0 also adds new recommended learning resources, including the "Use AI Well" literacy materials jointly developed by AIA and Meta, and jointly branded public teaching materials developed with AIF, providing the industry and the public with systematic learning and application opportunities. The ADI is also collaborating with Hahow, whose online courses on the platform will align with the guideline's talent classification and competency types, allowing individuals and companies to find suitable courses. Furthermore, the ADI is working with Yuan Ze University and Southern Taiwan University of Science and Technology to jointly develop "Industry-Academia AI Public Teaching Materials," which will closely integrate AI capabilities with real-world industry work scenarios, expected to be launched in the second half of this year. The ADI stated that the guidelines will continue to be dynamically adjusted in line with AI technology development and industry trends, and it will work with ecosystem partners to make AI talent cultivation more relevant to industry practical needs, fostering a positive AI industry talent ecosystem. (Editor: Lin Shu-yuan) 1150519