AI has had a tremendous impact on products and services across various industries. Most countries have considered AI a strategic priority. Taiwan possesses excellent academic and research institutions, as well as STEM talents. We have a world-class information and communication technology industry, a comprehensive semiconductor supply chain, and cross-industry integration of applications and services. With its high innovation capabilities, Taiwan has inherent advantages in the development of AI.

In order to grasp the opportunities in AI development, the government initiated the 'AI Taiwan Action Plan' (2018-2021) and has achieved remarkable results. We have established strong research capabilities in the fields of AI key technologies, digital health, smart manufacturing, and smart services; which has established strong research capabilities. Startups have thrived with the support of government and private resources. The cooperation among universities, research institutes, entrepreneurs and demanding businesses has promoted the development of various AI application demonstration cases, helping the industry to transform and upgrade. Taiwan has also attracted major international AI companies such as Google and Microsoft to set up R&D centers and startup accelerators in Taiwan. This has made the country an important AI innovation hub in the Asia-Pacific region.

Considering the various related risks brought about by the rapid development of AI, and to promote the value concept based on freedom and basic human rights, in the promotion of 'AI Taiwan Action Plan 2.0' (2023-2026), the emphasis is on utilizing the spirit of 'People-centric AI' to promote industrial transformation and upgrading and utilizing the core value of social well-being to lead in AI industrialization and scaling-up. The goal is to promote industrialization and scaling of AI, utilize AI to address societal issues, and facilitate the leap forward in AI national power. Starting from strengthening Taiwan's existing advantages, resources will be integrated to focus on five main tasks:

1. Optimize and expand the talent pool

2. Deepen AI software and core chip technology

3. Improve data governance and AI legal environment

4. Actively participate in international AI-related organizations

5. Address humanistic and social issues

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