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The EU's New Legal Framework for European Research Infrastructure

Recognized that Research infrastructures (RIs) are at the centre of the knowledge triangle of research, education and innovation and play an increasingly important role in the advancement of knowledge and technology, the EU began to finance for the establishments of RIs by its Framework Programmes (FPs) since the start of FP2 of 1987. On the other hand, the EU also assigned the European Strategy Forum on Research Infrastructures (ESFRI) to develop a coherent and strategy-led approach to policy-making on RIs between Member States and to facilitate the better use and development of RIs at EU and international level.

Based on those efforts, the European Commission understood that a major difficulty in setting up RIs between EU countries is the lack of an adequate legal framework allowing the creation of appropriate partnerships and proposed a legal framework for a European research infrastructure adapted to the needs of such facilities. The new legal framework for a European Research Infrastructure Consortium (ERIC) entered into force on 28 August 2009. An successfully-set-up ERIC will have the legal personality based on EU law, and can benefit from exemptions from VAT and excise duty in all EU Member States and may adopt its own procurement procedures to get rid of the EU's public procurement procedures. It is predicted that the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) will apply to become a BBMRI-ERIC in the near future. The EU also seeks to lead in Energy, Food and Biology through the reforms of ERICs to assist the high quality of activities of European scientists and attract the best researchers from around the world.

Besides, in order to connect the knowledge triangle effectively, the European Commission also established the European Institute of Innovation and Technology (EIT) on March 2008. It hopes through the research development partnership network to gather all the advantages from the science and technology chains of multiple areas, and make an effort for the strategy of EU innovation development jointly；Meanwhile, extends its roadmap to the objectives and practices of the Knowledge and Innovation Communities (KICs) of the EIT.

Contrast with the EU's advance, it is necessary to our government to concentrate and contemplate whether it is the time to reconsider if our existing legal instruments available to domestic research facilities and infrastructures are sufficient enough to reach our science and technology development goals.

※The EU's New Legal Framework for European Research Infrastructure,STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=105&tp=2&i=168&d=6100 (Date:2026/03/06)
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Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance

Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance 2024/08/15 I. AI Taiwan Action Plan 2.0 In 2018, the Executive Yuan launched the “AI Taiwan Action Plan” to ensure that the country keeps pace with AI developments. This strategic initiative focuses on attracting top talent, advancing research and development, and integrating AI into critical sectors such as smart manufacturing and healthcare. The action plan has sparked growing discussion on AI regulation. Through these efforts, Taiwan aims to position itself as a frontrunner in the global smart technology landscape. Later in 2023, the Executive Yuan updated the action plan, releasing “AI Taiwan Action Plan 2.0” to further strengthen AI development. “AI Taiwan Action Plan 2.0” outlines five main pillars: 1. Talent Development: Enhancing the quality and quantity of AI expertise, while improving public AI literacy through targeted education and training initiatives. 2. Technological and Industrial Advancement: Focusing on critical AI technologies and applications to foster industrial growth; and creating the Trustworthy AI Dialogue Engine (TAIDE) that communicates in Traditional Chinese. 3. Enhancing work environments: Establishing robust AI governance infrastructure to facilitate industry and governmental regulation, and to foster compliance with international standards. 4. International Collaboration: Expanding Taiwan's role in international AI forums, such as the Global Partnership on AI, to collaborate on developing trustworthy AI practices. 5. Societal and Humanitarian Engagement: Utilizing AI to tackle pressing societal challenges such as labor shortages, an aging population, and environmental sustainability. II. AI Product and System Evaluation Guidelines: A Risk-based Approach to AI Governance To support infrastructure, in March 2024, the Administration for Digital Industries issued the draft AI Product and System Evaluation Guidelines. The Guidelines are intended to serve as a reference for industry when developing and using AI products and systems, thus laying a crucial foundation for advancing AI-related policies in Taiwan. The Guidelines outline several potential risks associated with AI: 1. Third-Party Software and Hardware: While third-party software, hardware, and datasets can accelerate development, they may also introduce risks into AI products and systems. Therefore, effective risk management policies are crucial. 2. System Transparency: The lack of transparency in AI products and systems makes risk assessment relatively challenging. Inadequate transparency in AI models and datasets also pose risks for development and deployment. 3. Differences in Risk Perception: Developers of AI products and systems may overlook risks specific to different application scenarios. Moreover, risks may gradually emerge as the product or system is used and trained over time. 4. Application Domain Risks: Variations between testing results and actual operational performance can lead to differing risk assessments for evaluated products and systems. 5. Deviation from Human Behavioral Norms: If AI products and systems behave unexpectedly compared to human operations, this can indicate a drift in the product, system, or model, thereby introducing risks. The Guidelines also specify that businesses have to categorize risks when developing or using AI products and systems, and manage them in accordance with these classifications. In alignment with the EU AI Act, risks are classified into four levels: unacceptable, high, limited, and minimal. 1. Unacceptable Risk: If AI systems used by public or private entities provide social scoring of individuals, this could lead to discriminatory outcomes and the exclusion of certain groups. Furthermore, if AI systems are employed to manipulate the cognitive behavior of individuals or vulnerable populations, causing physical or psychological harm, such systems are deemed unacceptable and prohibited. 2. High risk: AI systems are classified as high-risk in several situations. These include applications used in critical infrastructure, such as transportation, where there is potential risk to citizens' safety and health. These situations also encompass AI systems involved in educational or vocational training (such as exam scoring), which can determine access to education or professional paths. AI used as safety-critical product components, such as robot-assisted surgery, also falls into this category. In the employment sector, AI systems used for managing recruitment processes, including CV-sorting software, are considered high-risk. Essential private and public services, such as credit scoring systems that impact loan eligibility, also fall under high-risk. AI used in law enforcement in ways that it may affect fundamental rights, such as evaluating the reliability of evidence, is also included. AI systems involved in migration, asylum, and border control, such as automated visa application examinations, are categorized as high-risk. Finally, AI solutions used in the administration of justice and democratic processes, such as court ruling searches, are also classified as high-risk. If an AI system is classified as high risk, it must be evaluated across ten criteria—Safety, Explainability, Resilience, Fairness, Accuracy, Transparency, Accountability, Reliability, Privacy, and Security—to ensure the AI system’s quality. 3. Limited risk: When an AI product or system is classified as having limited risk, it is up to the enterprise to determine whether an evaluation is required. The Guidelines also introduce specific transparency obligations to ensure that humans are informed when necessary, thus fostering trust. For instance, when using AI systems such as chatbots or systems for generating deepfake content, humans must be made aware that they are interacting with a machine so they can take an informed decision to continue or step back. 4. Minimal or no risk: The Guidelines allow the free use of minimal-risk AI. This includes applications such as AI-enabled video games and spam filters. Ⅲ. Conclusion The AI Product and System Evaluation Guidelines represent a significant step forward in establishing a robust, risk-based framework for AI governance in Taiwan. By aligning with international standards like the EU AI Act, these Guidelines ensure that AI products and systems are rigorously assessed and categorized into four distinct risk levels: unacceptable, high, limited, and minimal. This structured approach allows businesses to manage AI-related risks more effectively, ensuring that systems are safe, transparent, and accountable. The emphasis on evaluating AI systems across ten critical criteria—including safety, explainability, and fairness—reflects a comprehensive strategy to mitigate potential risks. This proactive approach not only safeguards the public but also fosters trust in AI technologies. By setting clear expectations and responsibilities for businesses, the Guidelines promote responsible development and deployment of AI, ultimately contributing to Taiwan's goal of becoming a leader in the global AI landscape.

New Version of Personal Information Protection Act and Personal Information Protection & Administration System

I.Summary In 1995, the Computer-Processed Personal Data Protection Law was implemented in the Republic of China. With the constant development of information technology and the limitations in the application of the legislation, the design of the original legal system is no longer consistent with practical requirements. Considering the increasing number of incidents of personal data leaks, discussions were carried out over a long period of time and the new version of the Personal Information Protection Act was passed after three readings in April, 2010. The title of the law was changed to Personal Information Protection Act. The new system has been officially implemented since 1 October, 2012. The new Act not only revised the provisions of the law in a comprehensive way, but also significantly increased the obligations and responsibilities of enterprises. In terms of civil liability, the maximum amount of compensation for a single incident is 200 Million NTD. For domestic industries, how to effectively respond to the requirements under the Personal Information Protection Act and adopt proper corresponding measures to lower the risk has become a key task for enterprise operation. II. Main Points 1. Implementation of the Enforcement Rules of the Personal Information Protection Act Personal information protection can be said the most concerned issue in Taiwan recently. As a matter of fact, the Computer-Processed Personal Data Protection Law was established in Taiwan as early as August 1995. After more than 10 years of development, computer and information technology has evolved significantly, and many emerging business models such as E-commerce are extensively collecting personal data. It has become increasingly important to properly protect personal privacy. However, the previous Computer-Processed Personal Data Protection Law was only applicable to certain industries, i.e. the following 8 specific industries: the credit investigation business, hospital, school, telecommunication business, financial business, securities business, insurance business, and mass media. And other business was designated by the Ministry of Justice and the central government authorities in charge of concerned enterprises. In addition, the law only protected personal information that was processed by “computer or automatic equipment”. Personal information that was not computer processed was not included. There were clearly no sufficient regulations for the protection of personal data privacy and interest. There were numerous incidents of personal data leaks. Among the top 10 consumer news issued by the Consumer Protection Committee of the Executive Yuan in 2007, “incidents of personal data leaks through E-commerce and TV shopping” was on the top of the list. This provoked the Ministry of Justice and the Ministry of Economic Affairs to “jointly designate” the retail industry without physical boutique (including 3 transaction models: online shopping, catalogue shopping and TV shopping) to be governed by the Computer-Processed Personal Data Protection Law since 1 July 2010. To allow the provisions of the personal information protection legal system to meet the environment of rapid change, the Executive Yuan proposed a Draft Amendment to the Computer-Processed Personal Data Protection Law very early and changed the title to the Personal Information Protection Act. The draft was discussed many times in the Legislative Yuan. Personal Information Protection Act was finally passed after three readings in April 2010, which was officially published by the Office of the President on 26 May. Although the new law was passed in April 2010, to allow sufficient time for enterprises and the public to understand and comply the new law, the new version of the personal information protection law was not implemented on the date of publication. In accordance with Article 56 of the Act, the date of implementation was to be further established by the Executive Yuan. After discussions over a long period of time, the Executive Yuan decided for the Personal Information Protection Act to be officially implemented on 1 October 2012. However, the implementation of two articles is withheld: Article 6 of the Act about the principal prohibition against the collection, processing and use of special personal information and Article 54 about the obligation to notice the Party within one year for personal information indirectly acquired before the implementation of the new law. In terms of the personal data protection legal system, other than the most important Personal Data Protection Act, the enforcement rules established in accordance with the main law also play a key role. The previous Enforcement Rules of the Computer-Processed Personal Data Protection Law were published and implemented on 1 May, 1996. Considering that the Computer-Processed Personal Data Protection Law was amended in 2010 and that its title has been changed to the Personal Data Protection Act, the Ministry of Justice also followed the amended provisions under the new law and actively studied the Draft Amendment to the Enforcement Rules of the Computer-Processed Personal Data Protection Act. After it was confirmed that the new version of the Personal Data Protection Act would be officially launched on 1 October 2012, the Ministry of Justice announced officially the amended enforcement rules on 26 September, 2012. The title of the enforcement rules was also amended to the Enforcement Rules of the Personal Data Protection Act. The new version of personal data protection law and enforcement rules was thus officially launched, creating a brand new era for the promotion of personal data protection in Taiwan. II. Personal Data Administration System and Information Privacy Protection Charter Before the amendment to the Personal Data Protection Act was passed, the Legislative Yuan made a proposal to the government in June 2008 to promote a privacy administration and protection certification system in Taiwan, in reference to foreign practices. In August of the following year, the Strategic Review Board of the Executive Yuan passed a resolution to promote the E-Commerce Personal Data Administration and Information Security Action Plan. In December of the same year, approval was granted for the plan to be included in the key government promotion plans from 2010 to 2013. Based on this action plan, since October 2010, the Ministry of Economic Affairs has asked the Institution for Information Industry to execute an E-Commerce Personal Data Administration System Setup Plan. Since 2012, the E-Commerce Personal Data Administration System Promotion Plan and the Taiwan Personal Information Protection and Administration System (TPIPAS) have been established and promoted, with the objective of procuring enterprises to, while complying with the personal data protection legal system, properly protect consumers’ personal information through the establishment of an internal administration mechanism and ensuring that the introducing enterprises meet the requirements of the system. The issuance of the Data Privacy Protection Mark (dp.mark) was also used as an objective benchmark for consumers to judge the enterprise’s ability to maintain privacy. Regarding the introduction of the personal data administration system, enterprises should establish a content administration mechanism step by step in accordance with the Regulations for Taiwan Personal Information Protection and Administration System. Such system also serves as the review benchmark to decide whether domestic enterprises can acquire the Data Privacy Protection Mark (dp.mark). Since domestic enterprises did not have experience in establishing internal personal data administration system in the past, starting 2011, under the Taiwan Personal Information Protection and Administration System, enterprises received assistance in the training of system professionals such as Personal Data Administrators and Personal Data Internal Appraisers. Quality personal data administrators can help enterprises establish complete internal systems. Internal appraisers play the role of confirming whether the systems established by the enterprises are consistent with the system requirements. As of 2012, there are almost 100 enterprises in Taiwan that participate in the training of system staff and a total of 426 administrators and 131 internal appraisers. In terms of the introduction of TPIPAS, in additional to the establishment and introduction of administration systems by qualified administrators, enterprises can also seek assistance from external professional consulting institutions. Under the Taiwan Personal Information Protection and Administration System, applications for registration of consulting institutions became available in 2012. Qualified system consulting institutions are published on the system website. Today 9 qualified consulting institutions have completed their registrations, providing enterprises with personal data consulting services. After an enterprise completes the establishment of its internal administration system, it may file an application for certification under the Taiwan Personal Information Protection and Administration System. The certification process includes two steps: “written review” and “site review”. After the enterprise passing certification, it is qualified to use the Data Privacy Protection Mark (dp.mark). Today 7 domestic companies have passed TPIPAS certification and acquired the dp.mark: 7net, FamiPort, books.com.tw, LOTTE, GOHAPPY, PAYEASY and Sinya Digital, reinforcing the maintenance of consumer privacy information through the introduction of personal data administration system. III. Event Analysis The Taiwan Personal Information Protection and Administration System (TPIPAS) is a professional personal data administration system established based on the provisions of the latest version of the domestic Personal Data Protection Act, in reference to the latest requirements of personal data protection by international organizations and the experience of main countries in promoting personal data administration system. In accordance with the practical requirements to protect personal data by industries, TPIPAS converted professional legal conditions into an internal personal data administration procedure to effectively assist industries to establish a complete and proper personal data administration system and to comply with the requirements of personal data legislations. With the launch of the new version of the Personal Data Protection Act, introducing TPIPAS and acquiring dp.mark are the best strategies for enterprises to lower the risk from the personal data protection law and to upgrade internal personal data administration capability.

Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations

Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations 2023/08/18 Since the launch of ChatGPT on November 30, 2022, the technology has been disrupting industries, shifting the way things used to work, bringing benefits but also problems. Several law suits were filed by artists, writers and voice actors in the US, claiming that the usage of copyright materials in training generative AI violates their copyright.[1] AI deepfake, hallucination and bias has also become the center of discussion, as the generation of fake news, false information, and biased decisions could deeply affect human rights and the society as a whole.[2] To retain the benefits of AI without causing damage to the society, regulators around the world have been accelerating their pace in establishing AI regulations. However, with the technology evolving at such speed and uncertainty, there is a lack of consensus on which regulation approach can effectively safeguard human rights while promoting innovation. This article will provide an overview of current AI regulation developments around the world, a preliminary analysis of the pros and cons of different regulation approaches, and point out some other elements that regulators should consider. I. An overview of the current AI regulation landscape around the world The EU has its lead in legislation, with its parliament adopting its position on the AI ACT in June 2023, heading into trilogue meetings that aim to reach an agreement by the end of this year.[3] China has also announced its draft National AI ACT, scheduled to enter its National People's Congress before the end of 2023.[4] It already has several administration rules in place, such as the 2021 regulation on recommendation algorithms, the 2022 rules for deep synthesis, and the 2023 draft rules on generative AI.[5] Some other countries have been taking a softer approach, preferring voluntary guidelines and testing schemes. The UK published its AI regulation plans in March, seeking views on its sectoral guideline-based pro-innovation regulation approach.[6] To minimize uncertainty for companies, it proposed a set of regulatory principles to ensure that government bodies develop guidelines in a consistent manner.[7] The US National Institute of Standards and Technology (NIST) released the AI Risk Management Framework in January[8], with a non-binding Blueprint for an AI Bill of Rights published in October 2022, providing guidance on the design and use of AI with a set of principles.[9] It is important to take note that some States have drafted regulations on specific subjects, such as New York City’s Final Regulations on Use of AI in Hiring and Promotion came into force in July 2023.[10] Singapore launched the world’s first AI testing framework and toolkit international pilot in May 2022, with the assistance of AWS, DBS Bank, Google, Meta, Microsoft, Singapore Airlines, etc. After a year of testing, it open-sourced the software toolkit in July 2023, to better develop the system.[11] There are also some countries still undecided on their regulation approach. Australia commenced a public consultation on its AI regulatory framework proposal in June[12], seeking views on its draft AI risk management approach.[13] Taiwan’s government announced in July 2023 to propose a draft AI basic law by September 2023, covering topics such as AI-related definition, privacy protections, data governance, risk management, ethical principles, and industrial promotion.[14] However, the plan was recently postponed, indicating a possible shift towards voluntary or mandatory government principles and guidance, before establishing the law.[15] II. Hard law or soft law? The pros and cons of different regulatory approaches One of the key advantages of hard law in AI regulation is its ability to provide binding legal obligations and legal enforcement mechanisms that ensure accountability and compliance.[16] Hard law also provides greater legal certainty, transparency and remedies for consumers and companies, which is especially important for smaller companies that do not have as many resources to influence and comply with fast-changing soft law.[17] However, the legislative process can be time-consuming, slower to update, and less agile.[18] This poses the risk of stifling innovation, as hard law inevitably cannot keep pace with the rapidly evolving AI technology.[19] In contrast, soft law represents a more flexible and adaptive approach to AI regulation. As the potential of AI still remains largely mysterious, government bodies can formulate principles and guidelines tailored to the regulatory needs of different industry sectors.[20] In addition, if there are adequate incentives in place for actors to comply, the cost of enforcement could be much lower than hard laws. Governments can also experiment with several different soft law approaches to test their effectiveness.[21] However, the voluntary nature of soft law and the lack of legal enforcement mechanisms could lead to inconsistent adoption and undermine the effectiveness of these guidelines, potentially leaving critical gaps in addressing AI's risks.[22] Additionally, in cases of AI-related harms, soft law could not offer effective protection on consumer rights and human rights, as there is no clear legal obligation to facilitate accountability and remedies.[23] Carlos Ignacio Gutierrez and Gary Marchant, faculty members at Arizona State University (ASU), analyzed 634 AI soft law programs against 100 criteria and found that two-thirds of the program lack enforcement mechanisms to deliver its anticipated AI governance goals. He pointed out that credible indirect enforcement mechanisms and a perception of legitimacy are two critical elements that could strengthen soft law’s effectiveness.[24] For example, to publish stem cell research in top academic journals, the author needs to demonstrate that the research complies with related research standards.[25] In addition, companies usually have a greater incentive to comply with private standards to avoid regulatory shifts towards hard laws with higher costs and constraints.[26] III. Other considerations Apart from understanding the strengths and limitations of soft law and hard law, it is important for governments to consider each country’s unique differences. For example, Singapore has always focused on voluntary approaches as it acknowledges that being a small country, close cooperation with the industry, research organizations, and other governments to formulate a strong AI governance practice is much more important than rushing into legislation.[27] For them, the flexibility and lower cost of soft regulation provide time to learn from industries to prevent forming rules that aren’t addressing real-world issues.[28] This process allows preparation for better legislation at a later stage. Japan has also shifted towards a softer approach to minimize legal compliance costs, as it recognizes its slower position in the AI race.[29] For them, the EU AI Act is aiming at regulating Giant Tech companies, rather than promoting innovation.[30] That is why Japan considers that hard law does not suit the industry development stage they’re currently in.[31] Therefore, they seek to address legal issues with current laws and draft relevant guidance.[32] IV. Conclusion As the global AI regulatory landscape continues to evolve, it is important for governments to consider the pros and cons of hard law and soft law, and also country-specific conditions in deciding what’s suitable for the country. Additionally, a regular review on the effectiveness and impact of their chosen regulatory approach on AI’s development and the society is recommended. Reference: [1] ChatGPT and Deepfake-Creating Apps: A Running List of Key AI-Lawsuits, TFL, https://www.thefashionlaw.com/from-chatgpt-to-deepfake-creating-apps-a-running-list-of-key-ai-lawsuits/ (last visited Aug 10, 2023); Protection for Voice Actors is Artificial in Today’s Artificial Intelligence World, The National Law Review, https://www.natlawreview.com/article/protection-voice-actors-artificial-today-s-artificial-intelligence-world (last visited Aug 10, 2023). [2] The politics of AI: ChatGPT and political bias, Brookings, https://www.brookings.edu/articles/the-politics-of-ai-chatgpt-and-political-bias/ (last visited Aug 10, 2023); Prospect of AI Producing News Articles Concerns Digital Experts, VOA, https://www.voanews.com/a/prospect-of-ai-producing-news-articles-concerns-digital-experts-/7202519.html (last visited Aug 10, 2023). [3] EU AI Act: first regulation on artificial intelligence, European Parliament, https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence (last visited Aug 10, 2023). [4] 中國國務院發布立法計畫 年內審議AI法草案，經濟日報(2023/06/09)，https://money.udn.com/money/story/5604/7223533 (last visited Aug 10, 2023). [5] id [6] A pro-innovation approach to AI regulation, GOV.UK, https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach/white-paper (last visited Aug 10, 2023). [7] id [8] AI RISK MANAGEMENT FRAMEWORK, NIST, https://www.nist.gov/itl/ai-risk-management-framework (last visited Aug 10, 2023). [9] The White House released an ‘AI Bill of Rights’, CNN, https://edition.cnn.com/2022/10/04/tech/ai-bill-of-rights/index.html (last visited Aug 10, 2023). [10] New York City Adopts Final Regulations on Use of AI in Hiring and Promotion, Extends Enforcement Date to July 5, 2023, Littler https://www.littler.com/publication-press/publication/new-york-city-adopts-final-regulations-use-ai-hiring-and-promotionv (last visited Aug 10, 2023). [11] IMDA, Fact sheet - Open-Sourcing of AI Verify and Set Up of AI Verify Foundation (2023), https://www.imda.gov.sg/-/media/imda/files/news-and-events/media-room/media-releases/2023/06/7-jun---ai-annoucements---annex-a.pdf (last visited Aug 10, 2023). [12] Supporting responsible AI: discussion paper, Australia Government Department of Industry, Science and Resources,https://consult.industry.gov.au/supporting-responsible-ai (last visited Aug 10, 2023). [13] Australian Government Department of Industry, Science and Resources, Safe and responsible AI in Australia (2023), https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_assets/Safe-and-responsible-AI-in-Australia-discussion-paper.pdf (last visited Aug 10, 2023). [14] 張璦，中央通訊社，AI基本法草案聚焦隱私保護、應用合法性等7面向 擬設打假中心，https://www.cna.com.tw/news/ait/202307040329.aspx (最後瀏覽日：2023/08/10)。 [15] 蘇思云，中央通訊社，2023/08/01，鄭文燦：考量技術發展快應用廣 AI基本法延後提出，https://www.cna.com.tw/news/afe/202308010228.aspx (最後瀏覽日：2023/08/10)。 [16] supra, note 13, at 27. [17] id. [18] id., at 28. [19] Soft law as a complement to AI regulation, Brookings, https://www.brookings.edu/articles/soft-law-as-a-complement-to-ai-regulation/ (last visited Aug 10, 2023). [20] supra, note 5. [21] Gary Marchant, “Soft Law” Governance of Artificial Intelligence (2019), https://escholarship.org/uc/item/0jq252ks (last visited Aug 10, 2023). [22] How soft law is used in AI governance, Brookings,https://www.brookings.edu/articles/how-soft-law-is-used-in-ai-governance/ (last visited Aug 10, 2023). [23] supra, note 13, at 27. [24] Why Soft Law is the Best Way to Approach the Pacing Problem in AI, Carnegie Council for Ethics in International Affairs,https://www.carnegiecouncil.org/media/article/why-soft-law-is-the-best-way-to-approach-the-pacing-problem-in-ai (last visited Aug 10, 2023). [25] id. [26] id. [27] Singapore is not looking to regulate A.I. just yet, says the city-state’s authority, CNBC,https://www.cnbc.com/2023/06/19/singapore-is-not-looking-to-regulate-ai-just-yet-says-the-city-state.html#:~:text=Singapore%20is%20not%20rushing%20to,Media%20Development%20Authority%2C%20told%20CNBC (last visited Aug 10, 2023). [28] id. [29] Japan leaning toward softer AI rules than EU, official close to deliberations says, Reuters, https://www.reuters.com/technology/japan-leaning-toward-softer-ai-rules-than-eu-source-2023-07-03/ (last visited Aug 10, 2023). [30] id. [31] id. [32] id.

Research on Taiwan’s Policies of Innovative Industry Development in Recent Years (2015-2016)

Research on Taiwan’s Policies of Innovative Industry Development in Recent Years (2015-2016) 1. “Five plus Two” Innovative Industries Policy 　　On June 15, 2016, Premier Lin Chuan met with a group of prominent business leaders to talk about a government project on five innovative industries, which aim to drive the next generation of businesses in R.O.C.. Subsequently the program was expanded to include “new agriculture” and the “circular economy” as the “+2.” The program was then broadened even further to include the Digital Economy and Cultural Innovation, with even Semiconductors and IC Design included, although the name of the policy remains 5+2. Speaking at the Third Wednesday Club in Taipei, Premier Lin said the industries require more investment to drive the next generation of industry growth momentum in R.O.C., create high-quality jobs, and upgrade the industrial competitiveness. Executive Yuan has selected the five innovative industries of Asia Silicon Valley, smart machinery, green energy, biotech & pharmaceutical industry, and national defense, which will be the core for pushing forward the next-generation industrial growth and improve overall environment by creating a cluster effect that links local and global industries, while simultaneously raising wages and stimulating employment. 　　Premier Lin said, regarding industrial competitiveness and investment issues the lackluster economy has stifled investment opportunities, and with limited government budgets, the private sector must play the larger role in investments. Regarding the “Five major Innovative Industries” project, Premier Lin said the National Development Council is currently drafting long-term plan to attract talent, create a thriving working environment, and infuse companies with more innovation, entrepreneurship and young workers. In addition, R.O.C. must also cultivate a strong software industry, without which it would be difficult to build a highly intelligent infrastructure. 　　The National Development Council said the program possess both the capacity of domestic demand and local characteristics, as the core for pushing forward the next-generation industrial growth. The government aims to promote a seamless synergy of investment, technology, and the talent, in order to develop innovative industrial clusters for furthering global linkage and nurturing international enterprises. In the meantime, the government also aims at achieving the enhancement of technology levels, balanced regional development, as well as realizing the benefits of job creation. 2. The Asia Silicon Valley Development Plan 　　In September 2016 the government approved the Asia Silicon Valley Development Plan, which connect Taiwan to global tech clusters and create new industries for the next generation. By harnessing advanced technological research and development results from around the world, the plan hopes to promote innovation and R&D for devices and applications of the internet of things (IoT), and upgrade Taiwan’s startup and entrepreneurship ecosystem. 　　The four implementation strategies are as follows: 　　(1) Building a comprehensive ecosystem to support innovation and entrepreneurship 　　(2) Connect with international research and development capabilities 　　(3) Create an IoT value chain 　　(4) Construct diversified test beds for smart products and services by establishing a quality internet environment 　　Taiwan’s first wave of industrial development was driven by continuous technological innovation, and the wave that followed saw the information industry become a major source of economic growth. 3. Global Hub for Smart Machinery 　　On July 21, 2016, Premier Lin Chuan said at a Cabinet meeting, the government aims to forge Taiwan into a global manufacturing hub for intelligent machinery and high-end equipment parts. Upgrading from precision machinery to intelligent machinery is the main goal of putting intelligent machinery industry into focal execution area expecting to create jobs and to maximize the production of production line as well as to forge central Taiwan into a global manufacturing hub for smart machinery. The Ministry of Economic draws up the Intelligent Machinery Promotion Program to establish the applications of the technology and capacity of services that fit the demand of the market. The program embodies two parts. The first is to accelerate the industrialization of intelligent machinery for building an ecosystem. The second is to improve intelligentization by means of introducing the intelligent machinery into the industries. 　　The execution policy of the Intelligent Machinery Promotion Program is to integrate the intelligent functions such as malfunctions predictions, accuracy compensation, and automatic parameter setting into the machinery industry so as to have the ability to render the whole solutions to the problem. Simultaneously, the program employs three strategies, which are connecting with the local industries, connecting with the future, and connecting with the world, to develop the mentioned vision and objectives. Especially, the way to execute the strategy of connecting with the local industries consists of integrating the capabilities of industry, research organization and the government. At the meantime, the government will encourage the applications of smart vehicles and unmanned aerial vehicles and train the talents as well. The thinking of connecting with the future lies in the goal of deepening the technologies, establishing systematic solutions, and providing a testing areas, which focus on the related applications such as aerospace, advanced semiconductor, smart transportation, green vehicles, energy industry, whole solutions between factories, intelligent man-machine coordination, and robots of machine vision combined with intelligent machinery applications. The government would strengthen the cross-cutting cooperation to develop machines for aerospace and integrate the system of industrial division to form a cluster in order to create Taiwanese IoT technology. Eventually, Taiwan will be able to connect with the world, enhance international cooperation, expand export trade and push industry moving toward the age of information and digital economy and break the edge of industry technology to make the industry feel the goodwill of the government. 4. Green energy innovations 　　The government’s “five plus two” innovative industries program includes a green energy industrial innovation plan passed October 27, 2016 that will focus on Taiwan’s green needs, spur extensive investments from within and outside the country, and increase quality employment opportunities while supporting the growth of green energy technologies and businesses. 　　The government is developing the Shalun Green Energy Science City. The hub’s core in Shalun will house a green energy technology research center as well as a demo site, providing facilities to develop research and development (R&D) capabilities and conduct the requisite certification and demonstration procedures. The joint research center for green energy technologies will integrate the efforts of domestic academic institutions, research institutes, state-run enterprises and industry to develop green energy technologies, focusing on four major functions: creating, conserving and storing energy, as well as system integration. Development strategies include systems integration and finding better ways to conserve, generate and store energy by promoting green energy infrastructure, expanding renewable energy capabilities and cooperating with large international firms. 　　The emergence of the green economy has prompted the government to build infrastructure that will lay the foundation for Taiwan’s green energy sector, transform the nation into a nuclear-free society, and spur industrial innovation. For innovative technology industries, green energy industries can drive domestic economic development by attracting more venture capital and creating more employment opportunities. 5. Biomedical Industry Innovation Program 　　To facilitate development of Taiwan’s biomedical industry, the government proposed a “biomedical industrial innovation promotion program” on November 10, 2016 to serve as the nation’s new blueprint for innovative biomedical research and development (R&D). To facilitate development of the biomedical industry, the government proposed a “biomedical industrial innovation promotion program”. The program centered on the theme of “local, global and future links,” “the biomedical industrial innovation promotion program” includes four action plans: 　　(1) Build a comprehensive ecosystem 　　To address a rapidly ageing global population, Taiwan will enhance the biomedical industry’s capacity for innovation by focusing on talent, capital, topic selection, intellectual property, laws and regulations, and resources. 　　(2) Integrate innovative business clusters 　　Established by the Ministry of Science and Technology and based in Hsinchu Biomedical Science Park, the center will serve as a government think tank on related issues. It is also tasked with initiating and advancing exchanges among local and foreign experts, overseeing project implementation, promoting investment and recruiting talents. Equally important, it will play a central role in integrating resources from other biomedical industry clusters around the country, including Nangang Software Park in Taipei City, Central Taiwan Science Park in Taichung City and Southern Science Park in Tainan City. 　　(3) Connect global market resources 　　Building on Taiwan’s advantages, promote M&A and strategic alliances, and employ buyout funds and syndicated loans to purchase high-potential small and medium-sized international pharmaceutical companies, medical supply companies, distributors and service providers. Use modern mosquito-borne disease control strategies as the foundation of diplomatic cooperation, and promote the development of Taiwan’s public health care and medical services in Southeast Asian countries. 　　(4) Promote specialized key industries 　　Promote niche precision medical services, foster clusters of world-class specialty clinics, and develop industries in the health and wellness sectors. 6. DIGITAL NATION AND INNOVATIVE ECONOMIC DEVELOPMENT PLAN 　　 On November 24, 2016, the Executive Yuan promote the Digital Nation and Innovative Economic Development Plan (2017-2025) (DIGI+ program), the plan’s main goals for 2025 are to grow R.O.C.’s digital economy to NT $ 6.5 trillion (US$205.9 billion), increase the digital lifestyle services penetration rate to 80 percent, speed up broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put R.O.C. among the top 10 information technology nations worldwide. 　　 In addition to the industrial economy, the program can jump off bottlenecks in the past industrial development, and promote the current Internet of things, intelligent machinery, green energy, medical care and other key national industries, but also attaches great importance to strengthening the digital infrastructure construction, the development of equal active, as well as the creation of a service-oriented digital government. It is also hoped that through the construction of a sustainable and intelligent urban and rural area, the quality of life will be improved and the people will enjoy a wealthy and healthy life. Over the next 8 years, the government will spend more than NT $ 150 billion. 　　The plan contains several important development strategies: DIGI+Infrastructure: Build infrastructure conducive to digital innovation. DIGI+Talent: Cultivate digital innovation talent. DIGI+Industry: Support cross-industry transformation through digital innovation. DIGI+Rights: Make R.O.C. an advanced society that respects digital rights and supports open online communities. DIGI+Cities: Build smart cities through cooperation among central and local governments and the industrial, academic and research sectors. DIGI+Globalization: Boost R.O.C.’s standing in the global digital service economy. 　　The program aims to build a favorable environment for digital innovation and to create a friendly legal environment to complete the draft amendments to the Digital Communications Law and the Telecommunications Act as soon as possible, foster cross-domain digital talents and develop advanced digital technologies, To create a digital economy, digital government, network society, smart urban and rural and other national innovation ecological environment in order to achieve "the development of active network society, promote high value innovation economy, open up rich countries of the policy vision. 　　 In order to achieve the overall effectiveness of the DIGI + program, interdisciplinary, inter-ministerial, inter-departmental and inter-departmental efforts will be required to collaborate with the newly launched Digital National Innovation Economy (DIGI +) Promotion Team. 7. “NEW AGRICULTURE” PROMOTION PROJECT 　　 At a Cabinet meeting On December 08, 2016, Premier Lin Chuan underscored the importance of a new agricultural paradigm for Taiwan’s economic development, adding that new agriculture is an integral part of the “five plus two” industrial innovation projects proposed by President Tsai Ing-wen. The “new agriculture” promotion project uses innovation technology to bring value to agricultural, and build new agricultural paradigm, agricultural safety systems and promote agricultural marketing. This project also takes resources recycling and environmental sustainability into consideration to promote agricultural transformation, and build a robust new agricultural system. 　　This agricultural project is expected to increase food self-sufficiency rate to 40%, level up agricultural industry value by NT$43.4 billion, create 370,000 jobs and increase portion of total agricultural exports to new overseas markets to 57% by 2020. 　　This project contains three aspects: 　　First is “building new agricultural paradigm”: to protect farmers, agricultural development and ensure sustainability of the environment. 　　Second is “building agricultural safety systems”: Ensuring product safety and quality, and building a certification system which can be trust by the consumers and is consistent with international standards. 　　Last but not least is “leveling up agricultural marketing and promotions”: enhancing promotion, making the agricultural industry become profitable and sustainable. 　　Council of Agriculture’s initiatives also proposed 10 policies to leverage agricultural industry, not only just use the passive subsidies measure of the past. These policies including promoting environmentally friendly farming practices; giving farmers that are beneficial(green) to the land payments; stabilizing farmers’ incomes; increasing the competitiveness of the livestock and poultry industries; using agricultural resources sustainably; ensuring the safety of agricultural products; developing technological innovation; leveling up food security; increasing diversification of domestic and external marketing channels; and increasing agriculture industry added value. 　　 In this statutes report, Council of Agriculture said this project will accelerate reforms, create new agricultural models and safety systems, but also build a new sustainable paradigm of agricultural. Premier Lin Chuan also backed this “five plus two innovative industries” program and “new agriculture” project, and asked Council of Agriculture to reviewing the possible legal changes or amendment that may help to enhance the transformation of agricultural sector.

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