AI in general 1, 2018

Taiwan AI Action Plan



Government of Taiwan (Executive Yuan)


Taiwan’s Premier announced that over a 4-year period an investment on the order of $300m will be made to boost the nation’s AI industry. The proposed action plan builds on Taiwan’s existing strengths in hardware manufacturing, its thriving SME ecosystem, strong ICT innovation in several verticals, and its #1 position on the Global Open Data Index.
The Action Plan describes 5 initiatives:
The strand “AI for Industrial Innovation” will assist SMEs to develop AI applications through pilots, data platforms, test fields and regulatory co-creation processes. It will also seek to attract international companies to establish up AI research centers in Taiwan. Open research open research platforms will be created and the government will promote industry standards with IoT Integration Service Center (IISC) in order to support SMEs with a “one-stop supporting service for deploying AI applications.” In addition, efforts will be made speed up AI adoption by SMEs. Sever pressing topics are identified, which should be matched to AI talent to develop 100+ solutions. The pressing topics are smart machinery, Asia-Silicon Valley, biomedical industry, renewable energy, defense industry, new agriculture, circular economy.
Under the “AI International Innovation Hub” 100 AI-related startups will be supported, the country’s connections to global venture capital expanded, and international cooperation among academia and businesses strengthened, with a view to driving IP in AI.
Under “AI Pilot Project”, the Action Plan suggests the adoption of models similar to DARPA in the US and SIP in Japan in order to “focus research and discover niche advantages for development.” This entails hosting competitions on topics selected by an expert committee, and also welcoming international R&D teams. The National AI Forward-Looking Network is also to be established, which would incorporate the relevant university training programs to train a diverse pool of talents and integrate with the international community to attract researcher “elites” from abroad.
As part of the “AI Talent Program,” 1000 high-calibre “elite” experts in intelligent technologies should be trained by 2021, along with 10 000 “pioneers” in intelligent applications. This work package would also include measures to recruit and retain global AI talent. A complete training pipeline is proposed, spanning demand investigation and curriculum planning, training implementation in collaboration with major international companies, and talent certification at multiple levels.
Finally, the “Test Fields and Regulatory Co-Creation” stream sketches that test fields for intelligent application should be established in several domains, including unmanned vehicles, IoT for public welfare, AI cyberservices, and government services.
Several pieces of legislation are listed, which fall into one of 4 categories:
  • Legislation passed already to enable “open fields and data for testing”, such as Financial Technology Development and Innovation Experimental Regulations, Recruitment and employment of foreign experts

  • Planning completed or under deliberation by the Legislature, such as Unmanned Vehicle technology innovation experimental regulations, Information security management legal system

  • Under discussion are pieces of legislation on regulatory sandboxes, government procurement, coping and adjustment in industrial management regulations, and applications of telecommunication spectrum resources

  • To be analyzed are the topics of open data, employment market cushion mechanisms, rights and obligations derived from AI applications, regime law on AI in administrative functions, consumer protection for AI applications, and regulations restriction for AI applications.

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