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Chairman of Artificial Intelligence Foundation: 70% of Taiwan Businesses Still in Initial Stages of AI application

The K.T. Li Foundation for Development of Science and Technology hosted the "國鼎論壇" AI Forum" last month (6/26) at TICC (Taipei International Convention Center). Nicole T.I. Chan, Chairman of the Artificial Intelligence Foundation, delivered a keynote speech discussing Taiwan's industrial progress in AI integration, the importance of data governance, and future improvement directions.

Nicole T.I. Chan posed the question, "If AI is the answer, what are our questions?" This concerns the future development direction of Taiwan's industries. With the widespread adoption of broadband networks and rapid development of the information society, Taiwan's economic models are gradually shifting to digital economy.

"Data-driven transformation is crucial in this process, closely intertwined with the development of artificial intelligence." Nicole T.I. Chan emphasized, "AI is accessible to everyone, but data is the most valuable asset." AI has already changed the interaction patterns between humans and computers.

Regarding Taiwan's digital transformation in industries, Nicole T.I. Chan stated, "Digital transformation + AI presents an opportunity to assist Taiwan's industries in advancing to the next level," adding that "the transformation involves not just technology, but also mindset." She further proposed that innovation within enterprises must be validated through "Proof of Ecosystem (POE)" to effectively land and demonstrate its ecological impact.

From a corporate perspective, data surveys indicate that currently, Taiwan's "AI Integration Index" remains low, with 70% of businesses in the early stages of AI application. They face challenges such as unfamiliarity with AI tool application methods and basic concepts, concerns about cybersecurity risks, and shortage of AI talent, all of which are inseparable from the digital transformation process.

Nicole T.I. Chan pointed out that "technology application involves not only technical aspects but also data governance and regulations." She identified four major challenges facing Taiwan enterprises in AI development in 2024, including lack of practical talent, insufficient data infrastructure, complex issue localization, and organizational cultural transformation.

Nicole T.I. Chan called for joint efforts from the industry and government to enhance public understanding of AI, establish relevant regulations, promote enterprise data governance and risk assessment, and properly address the social impact and ethical issues brought about by AI, thus promoting Taiwan's positive development in the era of artificial intelligence.

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